Revisions to International Standard on Auditing (Ireland) 600 will result in higher-quality group audits, but more work will be required to deliver this benefit, writes Noreen O’Halloran The International Standard on Auditing (ISA) (Ireland) 600 has been revised. Issued by the Irish Auditing and Accounting Supervisory Authority (IAASA), the revised standard applies to the audit of group financial statements.  Effective for periods beginning on or after December 15, 2023, these revisions aim to enhance audit quality and address inconsistencies in practice. They bring some challenges, however.  The purpose of ISA (Ireland) 600 Revised (the revised standard) is to enhance the quality of the audit delivered, by ensuing better co-ordination and understanding  between the group auditor and the auditor of a group component.  Audit committees, along with group and component management teams, will also experience changes in how the group auditor conducts the group audit.  Roles and responsibilities Various definitions are amended within the revised standard. These include the definition of a component, which now includes entities, business units, functions or business activities, or some combination thereof, determined by the group auditor for the purposes of planning and performing audit procedures in a group audit.  This concept of the auditor’s view of a component marks a departure from the previous standard. Under the previous standard, a component was identified by the group auditor based on the level at which the group or component management prepared the financial information.  As a result, audit committees can expect to see some changes in the identification of the components for the purpose of the group audit. The group engagement partner is responsible for the work performed by the engagement team. The definition of “engagement team” within ISA (Ireland) 600 Revised includes component auditors.  Therefore, it must be clarified that the group engagement partner along with members of the engagement team – other than component auditors (i.e. the group auditor) – will take responsibility for the nature, timing and extent of the direction and supervision of the component auditor’s work and the review of such work.  To fulfil this obligation, in addition to engaging with group management, the group engagement partner will need to be more involved with component auditors and, potentially, component management.  The definition of “significant components” has been removed. This means that there is no longer a set quantitative threshold above which a significant component’s financial information must be audited.  Rather, a more risk-based approach is required. Emphasis has been given to the consideration of the risk of material misstatement at the assertion level of the group financial statements associated with components.  This will mean that more decisions are made by the group auditor in terms of the level of work that is to be performed by each component and by whom this work will be performed. Component auditors may, therefore, expect changes to the scope of their work compared to previous years. The definition of group financial statements has been clarified. The standard focuses on the concept of a consolidation process. This includes the aggregation of the financial information of business units and is wider than the definition of the consolidated financial statement in financial reporting. As a result, audit committees may see a change in the approach to auditing an entity with multiple branches or divisions, as this is now considered to be a group audit.  The standard emphasises the need for a comprehensive approach to auditing all components contributing to group financial statements, ensuring that the audit covers all relevant aspects of the group’s financial reporting. The clarity regarding the definition of a component (including the removal of the significant component), the involvement of the engagement team and the responsibility of the group auditor, may enhance the quality of the audit delivered.  However, additional time will be incurred by the group auditor as a result, who must now ensure that all component auditors are adequately supervised.  The changes to the definition of a component will provide greater flexibility for the group auditor when identifying components. However, this may result in the entity’s management receiving requests for information regarding components that were not previously in scope. Risk-based approach One of the most significant changes in ISA (Ireland) 600 Revised is the alignment of the standard with the principles in ISA (Ireland) 315 Identifying and Assessing the Risks of Material Misstatement.  This requires the group auditor to focus more on identifying and assessing the risks of material misstatement at the group level when planning and performing the group audit, rather than simply defaulting to a full scope audit at the component level.  The alignment to ISA (Ireland) 315, and the requirement for the group auditor to take a more active role in identifying and assessing the risks of the material misstatement of group financial statements, will assist in improving audit quality.  It will also require more time, resources and effort on the part of the engagement team, however, and particularly the group engagement partner.  The group auditor will be heavily involved in identifying and assessing the risks of material misstatement at the group level and planning the approach to the entire audit, rather than delegating this to the component auditor.  The additional time and effort required will be most evident in large groups with components in multiple locations. The entity’s management may also receive additional, or more granular, requests for information from either the group or component auditor to support the group auditor’s risk assessment procedures.  Communication and documentation ISA (Ireland) 600 Revised reinforces the need for two-way communication between the group auditor and component auditor to ensure that both parties are in sync.  The group and component auditor together comprise one engagement team, so a collaborative environment is essential. The revised standard also emphasises that all ISAs, including ISA (Ireland) 230 Audit Documentation, must be applied in a group audit.  In applying ISA (Ireland) 230, the group auditor must demonstrate in their documentation how they are directing, supervising and reviewing the component auditor’s work.  The group auditor must consider the scenarios where access to either individuals or information at the component auditor level is restricted and how these restrictions are overcome. Enhanced documentation and two-way communication from the beginning of the audit will improve audit quality.  However, it will also require more co-ordination and collaboration, which may be challenging, particularly for complex groups with many components.   Early communication will be essential to addressing the changes in scope, higher levels of group auditor involvement and in identifying any challenges to this involvement, including restrictions on sharing audit documentation electronically or at all, or restrictions on travel to a specific area.  To fulfil their supervisory role, the group auditor may need to navigate various obstacles, including different time zones and language barriers.  Other practical challenges may include how to ensure that component auditors are part of the discussions required by the other ISA (Ireland) standards, including the fraud discussion required by ISA (Ireland) 240. Professional scepticism The revised standard clarifies how the requirements in ISA 220 (Revised) Quality Control for an audit of financial statements – particularly the importance of professional scepticism – applies to achieving audit quality in a group audit.  The group auditor must exercise professional scepticism by remaining alert to inconsistent information from component auditors, component management and group management, regarding matters that may be significant to the group financial statements.  The group auditor must take appropriate actions when inconsistencies are identified. In addition, the group auditor must emphasise the importance of exercising professional scepticism to each of the engagement team members, including the component auditors.  Exercising professional scepticism at the component level may result in the group engagement partner needing to engage more extensively with component auditors and component management throughout the audit.  Crucial supervisory role The revisions to ISA (Ireland) 600 introduce more requirements for group auditors and their component auditors. This requires increased resources, enhanced communication, increased documentation and a greater emphasis on professional scepticism.  Audit committees and group and component management will also see an increase in the level or type of information required from the group or component auditor so that the group auditor can fulfil their requirements in accordance with ISA (Ireland) 600 Revised.  The need for greater group auditor involvement in the planning and risk assessment stages, and the two-way communication required, highlights the importance for all auditors to understand the new requirements and ensure that they have the skills and resources needed to meet them.  To align with the revised standard, group and component management may see a change in the type or nature of information requested by auditors.  The supervisory role the group auditor plays is crucial to the execution of high-quality group audits.  Both the group auditor and the component auditor will need to be familiar with the new requirements and align their audit methodologies accordingly, while group and component management should be willing to provide the additional information required by the auditor.  While the revisions to ISA (Ireland) 600 will undoubtedly increase the workload of both auditors and group and component management, it will result in higher quality audits. This will, in turn, generate greater benefits to the public interest and may avoid high-profile group audit failures in the future.   Noreen O’Halloran is Principle, Audit Quality and Professional Practice Department, KPMG Ireland

AI is revolutionising accountancy by automating routine tasks, enhancing data analysis and providing valuable insights for strategic decision-making. Conor Flanagan explains how Artificial intelligence (AI) has emerged as a transformative force across various industries and accountancy is no exception. As AI technologies advance, they are reshaping the accounting landscape by enhancing efficiency, accuracy and strategic decision-making.  The emergence of AI can be traced back to the 1950s when pioneers like Alan Turing began exploring the concept of machine intelligence.  Turing’s famous “Turing Test” proposed that a machine could be considered intelligent if it could engage in conversation with a human without being distinguishable from a human interlocutor. Since the 1950s, AI has continued to evolve through different phases, including the notable period in the 1970s known as the “AI Winter” when there was a significant fall-off in funding and interest in the technology.  Since then, and coinciding with advances in computational power coupled with the development of machine learning algorithms, interest in AI has been reignited, with breakthroughs in natural language processing, computer vision and data analytics paving the way for more practical applications.  This progress, although impressive, has been somewhat dwarfed by the advent of Generative AI in recent years, with companies like OpenAI and its now infamous ChatGPT platform sparking widespread interest in the technology and its potential.  Generative AI has given rise to exciting new systems now capable of performing complex tasks, such as image recognition, language translation and content creation. And for the sceptics among us – no, this article was not written by ChatGPT. The Microsoft experience AI is revolutionising accountancy by automating routine tasks, enhancing data analysis and providing valuable insights for strategic decision-making. At the recent Chartered Accountant Technology Conference, held in January 2024, Daragh Hennelly, Senior Finance Director with Microsoft in Ireland, shared the story of how the company is unlocking business value through AI-enabled outcomes in finance. Microsoft began its AI journey over seven years ago, leveraging traditional AI to create models that could recognise patterns in data and use this to predict and act on potential outcomes, driving significant efficiency gains. Some examples include: Task automation and content creation Microsoft is using AI to automate tasks such as setting up purchase orders and logging expense reports. Streamlining processes and reducing risks Invoice approvals: AI assigns real-time risk scores to automate more than one million low-risk invoices and cuts the manual effort required for the rest by 50 percent, resulting in 125,000 hours of time saved for finance team members who can now use that time to focus on more strategic tasks. Journal entry anomaly detection: Machine learning algorithms have been built to review thousands of journal entries to detect anomalies with the aim of reducing reporting risks or misstatements.  Enhancing contract review efficiency: AI reads and scores thousands of contracts, reducing the time needed for manual review by 50 percent and allowing finance professionals to focus on high-risk contracts. The recurring theme in all these examples is how AI can be deployed to either automate manual tasks previously carried out by Microsoft’s finance team or unearth and present anomalies requiring additional review.  This demonstrates how AI can create efficiencies in finance functions and processes, but as accountants, we still need to be professionally trained to make decisions based on a smaller and more focused sample base.Over the past 18 months, in particular, the opportunity to transform business and finance processes has accelerated with the roll-out of Generative AI and its ability to create original content – such as text, images, video, audio or software code – in response to user prompts and requests. Today, Microsoft is adopting Generative AI to further enhance processes and unlock business value. This opportunity can be categorised across four main areas: Summarise information. Generate content. Recommend actions. Simplify tasks. 1. Summarise information Recap meeting transcripts to capture key points and assign actions. Distil collection agents’ call notes into actionable plans. Flag key terms in contracts related to payments, pricing and discounts. Synthesise complex workflow documents to highlight handoffs and commonalities. Summarise earnings scripts to identify significant trends and highlights. 2. Generate content Draft financial close decks and write analytical comments and insights. Write contractual language based on simple notes. Draft collection calls and follow-up emails in different languages with payment plan details. Write initial internal audit reports and investor relations earnings call scripts. Produce market sentiment analysis using transcripts from corporate earnings calls and central banking authorities. 3. Recommend actions Analyse financial close variances and recommend areas of the business to investigate variance drivers. Define collection strategy based on customer payment history. Evaluate audit workpapers and resolution disputes against audit controls.  Guide users in setting up purchase orders, invoices, expenses and payments. Recommend policy adherence within workflows. 4. Simplify tasks Accelerate financing requests by automating credit checks and policy reviews. Review sourcing contracts to ensure compliance and reduce human error.  Automate Sarbanes-Oxley Act (SOX) operational controls and summarise insights. Prioritise collection emails, tag disputes and identify resolution owners. Streamline tax and customs procedures by identifying compliance obligations from different global jurisdictions. Central to the success of this transformation of finance at Microsoft is a strong culture of encouraging and rewarding employees to leverage new technologies to transform finance processes. As Amy Hood, Microsoft’s Executive Vice President and Chief Financial Officer, puts it, “by adopting innovative technologies, finance will strengthen its business leadership through compliance, accuracy and efficiency.”   Microsoft is at the forefront of the Generative AI wave, advancing ideas of what is possible and investing in AI solutions such as CoPilot. CoPilot is integrated into Microsoft’s applications (Word, Excel, PowerPoint, Outlook and Teams), working alongside the user with the aim of helping them to work more creatively and efficiently.  It is also enhancing business application products such as Power Platform, Business Central and Dynamics Sales, facilitating advanced data analytics and the creation of complex workflows using natural language that would previously have required the intervention of a developer.  AI’s other early adopters Outside Microsoft, there are other examples of organisations that have successfully implemented AI in their accounting processes, demonstrating the technology’s practical benefits in our field.  HSBC The multinational banking and financial services company has implemented AI to enhance its fraud detection capabilities. HSBC’s AI system analyses transaction data in real-time, identifying suspicious activities and flagging potential fraud cases. This has resulted in a substantial reduction in fraudulent transactions and improved security for customers. Xero The cloud-based accounting software provider uses AI to automate bookkeeping and financial reporting tasks for small and medium-sized businesses. Xero’s AI-driven platform can categorise transactions, reconcile bank statements and generate financial reports, saving time and reducing the risk of errors for business owners. AI and ethical risk While AI offers numerous benefits to the accounting profession, it also raises some ethical concerns. These issues must be carefully considered to ensure the responsible use of AI in accountancy. Data privacy and security AI systems rely on vast amounts of data to function effectively. This raises concerns about data privacy and security, as sensitive financial information may be at risk of unauthorised access or misuse. Organisations must implement robust data protection measures to safeguard against data breaches and ensure compliance with privacy regulations. Bias and fairness AI algorithms are only as unbiased as the data they are trained on. If the training data contains biases, the AI system may produce biased or unfair outcomes. This is particularly concerning in areas such as fraud detection and financial forecasting, where biased algorithms could lead to discriminatory practices. It is essential to ensure that AI systems are trained on diverse and representative datasets to minimise bias and promote fairness. Transparency and accountability AI systems often operate as “black boxes,” making it difficult to understand how they arrive at their decisions. This lack of transparency can be problematic in the context of financial reporting and auditing, where accountability is crucial. Organisations must strive to develop explainable AI models that provide clear insights into their decision-making processes. AI and the work of the accountant The automation of routine accounting tasks through AI has raised concerns about job displacement and the future of the accounting profession.  While AI can handle repetitive and mundane tasks, it cannot replace the strategic thinking and judgment accountants bring to the table.  That said, accountants may need to adapt to new roles and develop new skills to remain relevant in an AI-driven landscape. Like electricity, the roll-out of AI will have a major impact on every industry and many professions, but only those who embrace it will learn to harness its power. Accountants must be prepared to adapt to the changing landscape by acquiring new skills and knowledge. Continuous learning and professional development will be essential for accountants to thrive in an AI-driven world. This includes gaining proficiency in data analytics, machine learning and other emerging technologies. Rather than viewing AI as a threat, accountants should embrace it as a valuable tool that can augment their capabilities. By leveraging AI to handle routine tasks, accountants can focus on higher-value activities, such as strategic planning, financial analysis and advisory services. AI is undeniably transforming the field of accountancy, offering numerous benefits in terms of efficiency, accuracy and strategic decision-making.  From automated data entry and fraud detection to financial forecasting and auditing, AI is revolutionising traditional accounting processes. Its widespread adoption also raises important ethical questions, however. To fully realise the potential of AI while addressing this challenge, organisations must prioritise ethical considerations while also investing in reskilling and upskilling their people and fostering collaboration between humans and AI.  By doing so, the accounting profession can harness the power of AI to drive innovation and deliver greater value to clients and stakeholders. If you have found this article interesting, join us for the next Chartered Accountants Ireland Technology Conference on Friday 24 January 2025. Conor Flanagan is ERP Lead with Storm Technology and a member of the Technology Committee of Chartered Accountants Ireland

The European Union’s new Artificial Intelligence Act brings opportunities for businesses but will not be without challenge, writes Keith Power Just seven percent of Irish businesses currently have governance structures in place for artificial intelligence (AI) or generative AI (GenAI). Despite this, the overwhelming majority (91%) believe that GenAI will increase cybersecurity risks in the year ahead. This is according to PwC’s latest GenAI Business Leaders survey, published in June 2024.  The European Union’s Artificial Intelligence Act (EU AI Act) is a sweeping new regulation aimed at ensuring that businesses have the appropriate AI governance and control mechanisms in place to deliver safe and secure outcomes.  Indeed, a large majority (84%) of our survey respondents welcomed the introduction of the EU AI Act, saying regulation is necessary to prevent the potential negative impact of AI in the future.  The new EU AI Act will also bring challenges, however. Its aim is to protect businesses, consumers and citizens in the EU from potential risks associated with AI in terms of health, safety, fundamental rights, democracy, rule of law and the environment.  By introducing standards and providing legal certainty, the Act also seeks to foster innovation, growth and competitiveness in the EU’s internal market.  It is the EU’s first comprehensive legal framework for AI and will level the playing field for businesses using the technology.  The Act adopts a risk-based approach, with its biggest compliance requirements applying to “high risk” AI systems.  These requirements include addressing data governance concerns, mitigating bias, ensuring transparency and implementing a system of quality management.  The Act also requires that users must be informed when they are interacting with chatbots, and that any AI-generated content must be clearly identifiable as such.   Several specific risks are particular to the EU AI Act, including failure to identify all uses of AI across a business as well as the potential for the inaccurate risk classification of AI uses.  The Act also obliges organisations to assess all of their use cases for AI. This may prove an onerous and time-consuming task given the dispersed nature of the use of AI in many companies. The risk of misclassification is high as risk classifications may change as an organisation’s use of AI evolves over time.  This necessitates the implementation of appropriate ongoing governance and control procedures to maintain compliance, bringing its own challenges. There is also a risk that the focus on compliance may lead to a drag on innovation.  The nuanced nature of some of the language used in the Act, coupled with risk classifications and role designations being subject to change, may prove problematic for some organisations.  The use of AI systems by third parties acting on behalf of organisations may also cause a degree of complexity.  There is much to be considered by Irish businesses to ensure they will be compliant with the new EU AI Act.  It will bring competitive opportunities, but complying with the new regulations will be a complex process. Keith Power is a Partner with PwC Ireland *Disclaimer: The views expressed in this column published in the August/September 2024 issue of Accountancy Ireland are the author’s own. The views of contributors to Accountancy Ireland may differ from official Institute policies and do not reflect the views of Chartered Accountants Ireland, its Council, its committees, or the editor.

Numra co-founder David Kearney, FCA, sees a world of potential in the advent of AI for accountants who can now expect to see their work move up the value chain David Kearney vividly recalls the release of the first version of ChatGPT, the artificial intelligence (AI) chatbot, by US tech firm OpenAI in November 2022. A Chartered Accountant, entrepreneur and self-confessed “techie,” Kearney had sold Peblo, his first start-up, just months earlier and was on the look-out for ideas for a new venture with global potential. “That first ChatGPT release was really the first time I’d come across the concept and capabilities of generative AI (GenAI) and large language models (LLMs),” Kearney says. “It was all I could think about at the time. I remember spending a full week of evenings staying up late just playing with ChatGPT, getting to know it, reading all about GenAI and LLMs and learning about how it all works. I was fascinated.” Almost immediately, based on his own experience as a Chartered Accountant, Kearney could see a potential commercial application for the technology in the professional field he was most familiar with. “There are literally dozens of use cases out there for GenAI. The one I zeroed in on was accountancy,” he explains.  Kearney established Numra in August 2023 and, alongside his co-founder Conor Digan, began to develop an AI-powered automation platform for finance teams.  Numra closed a €1.5 million seed funding round in December led by Elkstone Partners, the early-stage venture capital firm, and released the first version of “Mary,” its AI assistant for finance teams. Numra’s AI platform is aimed primarily at mid-sized companies with in-house finance teams processing high-volume transactions. “One of the biggest things Mary can help these teams with is workflow automation. She excels at repetitive tasks, such as invoice processing, three-way matching, payments and reconciliations,” Kearney explains. “If we take accounts payable as an example, Mary can identify an invoice from an email, extract the required invoice data and enter it into the accounting system. She can then send the invoice to whomever needs to approve it and, from there, she can execute the payment.” Kearney says Mary has been designed to behave like a “real-life team member.” She can be trained up on existing company processes and can interact with communication platforms already in use, such as email, Microsoft Teams and Slack.  “You onboard Mary, just like a normal team member. You train her on your internal processes, you give her access to your systems and then get her to start helping you with your workload,” he says. “She can manage complex tasks like answering vendor queries and performing detailed cost allocations, improving over time through user feedback. “That’s really the beauty of GenAI. It has this capability to ingest and process vast amounts of unstructured data and take on tasks that were previously too complex to automate.” The result, Kearney says, is that the role of the Chartered Accountant will be elevated with a new focus on higher-value activities that require strategic thinking and creativity. “There has been quite a lot of fear mongering around how AI is going to impact jobs in the future, including jobs in the accounting profession,” he says. “That’s kind of understandable, but AI actually represents more of an opportunity than a risk for accountants and other professions. I think it should be embraced.” Kearney began his own career as a Chartered Accountant as an undergraduate studying commerce at UCD. He undertook a one-year placement with PwC and went on to train in the firm’s audit department. “The Chartered Accountant qualification had been on my radar for a long time and I specialised in accounting in my final year at college to get the CAP1 exemption,” he explains. “I always had a very strong interest in business and entrepreneurship and I felt that the Chartered Accountant qualification would be a really good launchpad for my career. It’s very dynamic and it gives you a lot of career options.”  After qualifying, Kearney moved to southeastern Australia in 2018 where he spent three-and-a-half years in Melbourne working for large-scale organisations like PZ Cussons, RACV and National Australia Bank.  “I worked in finance departments, mainly in financial planning and analysis. I had an amazing time and built up some great experience in commercial roles, but it was always in the back of my mind that I wanted to do something for myself,” he says. After returning to Ireland with his partner Grace in the early stages of the COVID-19 pandemic, Kearney hit upon the idea for Peblo, his first venture.  Peblo was a financing platform for content creators and influencers. Kearney established the start-up in late 2020 with co-founder Jake Browne and sold Peblo less than two years later to Wayflyer, the Irish-owned e-commerce funding platform. “Peblo was a bit of a crazy idea. It was an invoice factoring company for influencers and their talent agencies.  We were basically buying sponsorship invoices from influencers, so they could get paid sooner for sponsored work for brands. It took off. It grew legs really quickly and we sold in early 2022.” Peblo’s rapid growth and early acquisition was like “lightning in a bottle,” Kearney says now. “It’s rare enough that a start-up would scale that quickly and attract interest from a buyer,” he says. “It was good timing, a good value proposition. Sometimes things just work out.” Peblo may have taken off at lightning speed, but Kearney’s interest in technology goes right back to childhood. “One of my earliest memories is of my grandad’s Apple Macintosh computer. That was back in the early nineties. I was glued to the thing every time we visited and he ended up gifting it to me before I had even started primary school.  “I must have been about four and I still remember the excitement. Since then, I’ve been a bit of an early adopter of new technology. I love trying new things. Technology has always been a big part of my life.” Now, with Numra’s seed funding round secured, Kearney has ambitious plans for the fledgling venture. “We’ll use the funding to accelerate customer acquisition in the US and to invest further in product development,” he says. “Our main target market will be the finance teams in mid-sized organisations. These teams often have too much work and too few heads. They are the most likely to recognise, and benefit from, this kind of AI-enabled workflow automation from the get-go.” For Chartered Accountants fearful that the advent of such automated financial platforms could upend the profession, Kearney says the critical role the profession plays across all sectors will not be replaced. Rather, it will evolve. “The data entry, the document processing and the ‘number-crunching’ is going to go away. AI can do all of that better than we can,” he says. “AI is very good at doing a lot of the time-consuming work people don’t tend to enjoy and that is a positive for Chartered Accountants who can instead start to focus on more valuable strategic work. “Ultimately, I think we can expect to see the day-to-day work of Chartered Accountants move away from ‘the doing’ and more towards orchestrating and reviewing.”

Artificial intelligence is ushering in a new era of tech-enabled efficiency in many sectors, but its widespread adoption also throws up ethical dilemmas. Dr Susan McKeever digs into the details Dr. Susan McKeever is Head of Discipline for Data Science and Artificial Intelligence (AI) at Technological University Dublin’s School of Computer Science. Here, McKeever talks to Accountancy Ireland about the benefits AI is bringing to sectors reliant on data and how regulators, Chartered Accountants and other professions must ensure its ethical adoption as it continues to evolve at a rapid pace. How is the emergence of AI impacting the world of accounting and other professions and sectors? Any profession, function or industry reliant on large amounts of data and repetitive data-related tasks traditionally carried out by people will be impacted by the advent of AI, if they are not being impacted already. These repetitive tasks might involve data entry, data assessment and the generation of reports and correspondence based on this data. AI is very “friendly” to taking over these kinds of tasks. It is really good at getting to grips with a lot of data, interpreting and analysing this data and generating knowledge from it.  The medical sector is one example of an AI-friendly sector, as is the legal sector and insurance. Accountancy is, in a sense, data-driven, but uses a very specific kind of data that needs to be assessed and interpreted, so it is quite specialist.  You can train AI to do simple, repetitive, data-related tasks in accounting. It won’t get tired and it won’t forget what it has already learned.  You can continue to re-train AI as the world moves along, or as the situation changes, and it will continue to build on its existing knowledge and become more and more intelligent. People are excited about the emergence of AI, but also fearful – is this fear well-founded? One of the fears surrounding AI is the general concept that it will “take over” in certain fields. I do believe that the widespread uptake of AI across industries will displace certain kinds of repetitive jobs further down the value chain – the kind of roles that can easily be automated.  The silver lining – and I do truly believe this – is that, as a result, we will see an uptick in higher-value roles. If you take accountancy, we will likely see a shift away from the very granular, detail-driven examination of individual transactions, for example.  Instead, with AI gathering and analysing this data, the accountant will be able to focus on higher-value work, spotting interesting patterns or anomalies of immediate value to their organisation. My advice to accountants, as with all professions, is to go with it. AI is here to stay.  ChatGPT really seeded the concept of AI in the public imagination. It is just one of the larger language models out there, but it just happens to be the one that has really landed in the public consciousness. You have all sorts of people already using ChatGPT to write letters, draft CVs and so on. Change is inevitable. The widespread use of AI is inevitable. My advice to all professionals is to adapt and prepare. Re-train or upskill if you need to. Try not to resist it too much.  What else should we be concerned about when it comes to the widespread adoption of AI? There is a fear out there that AI will start to make decisions we, as humans, used to own.  What is really important here – and this needs to be enshrined in legislation – is that, at all times, humans must be responsible for any decisions made.  So, while AI may be by your side, acting as an “intelligent” support to you in your work as an accountant, you – the human – must always be responsible for any decisions made.  Once you move away from this principle, you enter problematic territory. AI must be accountable to humans. People must maintain ownership of any and all decisions made, always. We train AI based on existing data and data sets – does this carry its own risk? In AI, machine learning models are trained using previous examples. This subset of AI uses algorithms to interpret large amounts of data. It learns from experience. So, if you use a machine learning model to train an AI algorithm to recognise suspicious transactions, for example, you might give it a dataset of 1,000 transactions in which 100 are suspicious. The model will start to figure out the pattern of what makes a transaction suspicious where a human might not have been able to decipher the “rules” underpinning these suspicious transactions.  If you train your AI algorithm based on 1,000 transactions, it might get a certain level of detail. If you up this training to a larger dataset comprising 100,000 examples, your AI algorithm will start to get really good at recognising the patterns in suspicious transactions.  One issue with this kind of machine learning is bias. If you are training your AI algorithm on what has gone before, you are also embedding biases that have existed over time. You are enshrining the world as it is, or was, into the trained examples you use. You have to be very careful that you do this well.  Already, we have seen how the use of AI-driven CV evaluation systems has brought bias to the hiring process based on race, gender, age and other factors. It is something we need to be very aware of. Are we doing enough to regulate and legislate for the safe and ethical use of AI now and in the future? The effective regulation of AI is something I feel very strongly about. This technology, like so many others, is already shaping our society and will continue to do so in the future. Our legislation is lagging behind the rapid evolution and deployment of AI in Ireland and across the world. We are behind the wave, and this is a problem. In the European Union, the Digital Service Act came into full effect in February and the Artificial Intelligence Act is also coming down the line. Its aim is to ensure that AI systems placed on the European market, and used in the EU, are safe and respect fundamental rights and EU values. These regulations are welcome, but their introduction is too slow. It is not keeping pace with AI. Our legislators are falling behind, and this has to be addressed. Otherwise, we could be looking at a society that is framed by technology instead of the democratic and legislative code that should prevail. This is not to paint an entirely negative picture. AI can be used for so much good. There is so much to be positive about in this extraordinary technology. It is up to us to make sure that it is used for good, however, and that the necessary controls are in place to make sure that we continue to have the kind of society we want. To do this, the legislation needs to get in front of the technology, and this is something we need to prioritise today. 

Attracting top graduate talent requires a strategic recruitment plan focused on strong employer branding, fostering internal relationships and academic partnerships, explains Mary Cloonan In today’s highly competitive job market, attracting top graduate talent is more challenging than ever. With a plethora of career opportunities at their fingertips, graduates seek firms that stand out through their values, culture and development opportunities. Organisations need a strategic and well-structured recruitment plan to engage this year’s graduate cohort. This strategy should holistically focus on brand building, celebrating the success of current graduates, nurturing strong internal relationships, establishing collaborations with academic institutions and communicating the recruitment process clearly and transparently. Building a compelling employer brand To attract top graduates, it is important that your organisation’s brand offers them what they are looking for in an employer. There are three elements to focus on in your employer brand: Corporate identity and values: Graduates gravitate towards firms that profess clear values and live by them. Firms must communicate their core values effectively, emphasising social responsibility, sustainability and ethical practices to resonate deeply with potential candidates. Employee testimonials and success stories: Showcasing current graduates’ real-life success stories of through social media, blogs and video testimonials can powerfully augment a firm’s brand. These narratives provide authentic proof of the professional growth and development facilitated by your company, making it an attractive place for ambitious graduates to start their careers. Interactive engagement: Proactive engagement through webinars, virtual career fairs and interactive Q&A sessions enables potential recruits to gain insights into the company’s culture and employee experiences. This level of interaction can significantly boost a firm’s appeal, drawing in candidates who are a good cultural and ethical fit. Fostering strong internal relationships Creating an environment that promotes growth and development is crucial in maintaining a dynamic and supportive workplace. This is achieved by understanding and responding to the current team’s needs and ambitions by: Mentorship and comprehensive training: By implementing robust mentorship programs and offering comprehensive technical and soft skills training, companies can equip graduates with the necessary tools to succeed and integrate seamlessly into the professional environment. Listening to learn: Regular feedback sessions help cultivate a culture of openness and ongoing development, which can be used to tailor training programs and career development initiatives to suit individual and organisational goals. Recognition and advancement opportunities: Publicly acknowledging and rewarding graduates’ achievements helps to foster a motivational workplace atmosphere and demonstrates the firm’s commitment to investing in its employees’ success. Collaborating with academic institutions Forming strategic alliances with universities and colleges is essential to accessing emerging talent and enhancing brand visibility among students. Collaborations that offer students practical experience and internship opportunities allow companies to assess potential employees in real-world contexts, benefiting both students and employers. By participating in educational programs and delivering workshops, companies provide valuable industry insights and help demystify the professional world for students, preparing them effectively for their future careers. Firms contributing their expertise to academic curricula ensure that the education provided is relevant and up to date, enhancing graduates’ employability and ensuring they are well-prepared for their professional journey. Transparently communicating the recruitment process Clear and proactive communication about the recruitment process is crucial for setting correct expectations and creating a positive candidate experience. The firm’s careers page should clearly detail each step of the recruitment process, from application to selection, explaining it and reducing applicant anxiety. A comprehensive FAQ section, along with supportive materials such as year-by-year training breakdowns and process videos, provides candidates with all the necessary information to navigate the application procedure confidently. Finally, videos, photography and tagged posts featuring current graduates talking about their experiences can give insights into the day-to-day realities of working at the firm and showcase the vibrant community and dynamic work environment. A proactive and transparent recruitment strategy is paramount in these competitive times. By effectively building a robust brand, fostering strong internal relationships, empowering graduates, forming educational partnerships and clearly articulating and showcasing the recruitment journey, firms can attract, engage and retain top talent, paving the way for sustained success. Mary Cloonan is the founder of Marketing Clever