Thought Leadership

Our brains shortcut for safety, not fairness, but this doesn’t mean bias should determine our decision-making. Andrea Demody explains how leaders can promote fairness and inclusion at all levels Most of us like to think we're fair-minded. Most leaders I work with genuinely believe they hire and promote based on merit. Their favourite articulation is often: "I always hire the best person for the job." But here's the thing: our brains weren't built for fairness. They were built for speed and safety. What does this mean for building a fair organisation? Imagine you're standing at a busy road crossing, the cars are whizzing by, and you're waiting for the lights to change so you can cross safely. Someone beside you starts to step out before the light changes. You instinctively reach out and stop them, without thinking this through consciously. This is your brain doing what it's designed to do—i.e. responding quickly to potential risk. It's scanning for cues, drawing on past experiences and acting fast to keep you safe. That same shortcutting also happens in the workplace. When reviewing CVs, deciding who to promote or assessing someone's performance, our brains are still looking for the familiar,  comfortable and safe option. And this is where bias can creep in. Bias is human We all have biases, conscious and unconscious. This isn’t a flaw in our character; it's just how our brains work. Understanding this is just step one, however. Step two involves designing ways to make fairer decisions despite this bias. Here are just a few examples of how bias can show up at work: Affinity bias: We tend to favour people who remind us of ourselves, such as those from the same school, background or previous employer. Halo and horns effect: A first impression can colour everything that comes after, meaning no automatic second or third chances. Confirmation bias: We notice what supports our beliefs and filter out what doesn't, making it difficult to consider contradictory perspectives. Recency bias: We give too much weight to what happened most recently, making it almost impossible to accurately judge a year's worth of performance. Groupthink: We self-censor to keep the peace, staying silent when we disagree with the majority opinion, especially if this is supported by the boss. Blind spot bias: We spot bias in others, but not in ourselves. These biases don't just affect hiring, promotion and other people processes, they can also impact strategy, innovation and team dynamics. Moving past our biases To move beyond the biases we carry, we need to establish a structure around our decisions. This might involve using rubrics for hiring or incorporating calibration into performance reviews. It could mean inviting challenge at team meetings or encouraging others to ask what evidence we are using to make decisions. The point is: you don't have to rely on willpower to be fair. You can design for it. Leaders can start small by getting curious about the voices they listen to, the perspectives they seek out and the assumptions they hold.  You may not be able to eliminate bias entirely, but you can interrupt it—and this is where progress begins. Beyond being the right thing to do, this makes smart business sense. An understanding that everyone will be included, regardless of how they might differ from the boss, is the secret sauce that makes diverse teams work together. One decision. One meeting. One moment where you put structure around the shortcut is how you state. Because designing for fairness isn't just good practice—it's good business. Andrea Dermody is Founder of Dermody Inclusion and Diversity

Artificial intelligence is rapidly becoming an integral part of daily life, but many organisations have yet to fully grasp its potential, limitations and associated risks, writes David O’Sullivan The introduction of the European Union’s Artificial Intelligence (AI) Act means organisations are now legally required to ensure that employees using AI, as well as those impacted by its outputs, possess adequate AI literacy. AI literacy is the ability to understand, evaluate and interact effectively with AI systems. It encompasses recognising risks and opportunities, interpreting AI outputs and making informed deployment decisions. Ensuring AI literacy within an organisation isn’t just about compliance – it reduces risk, fosters innovation and drives competitive advantage. For businesses seeking to enhance their AI literacy, the European Commission offers detailed guidance, accessible in their online library: AI Literacy Learning Repository. Leading organisations integrate AI literacy into AI governance frameworks, ensuring clear roles, responsibilities and key performance indicators. Here are the six most effective strategies. 1. Tailored training for different levels of expertise A one-size-fits-all approach to training rarely works. Successful organisations provide: Foundational courses for employees new to AI; and Advanced technical training for developers and data scientists. 2. Hands-on learning with practical applications The best way to understand AI is to use it. Companies should offer their employees: Workshops, case studies and simulations to demonstrate AI’s practical impact; and AI sandbox environments for employees to test and experiment with AI safely. 3. Role-specific AI training Different teams utilise AI in different ways. Finance teams, product managers and engineers all interact with AI in various ways. Tailored training can help to ensure employees receive the relevant knowledge necessary to integrate AI into their workflows effectively. 4. AI mentorship and cross-department collaboration Encouraging knowledge-sharing between AI experts and employees helps bridge skill gaps. Some companies establish AI mentorship programmes where experienced employees guide their peers in AI adoption. 5. Embedding responsible and ethical AI practices Many organisations are integrating responsible AI principles into their training, focusing on transparency, fairness and compliance with AI regulations such as the EU AI Act. In Ireland, the Government introduced principles for public sector organisations early in 2024, and these are still relevant today. 6. Continuous learning AI is evolving rapidly. Training should be ongoing with regular updates and refresher sessions to keep pace with advancements. The impact of AI literacy When AI literacy programmes are effectively implemented, organisations experience significant benefits, including: Increased AI adoption and engagement: Companies have seen an increase in employee participation in AI training and a higher usage of AI tools in daily tasks. According to the AI Literacy Learning Repository, one organisation that implemented an AI literacy programme reported a 30 percent increase in AI training participation and a 65 percent rise in AI tool utilisation. Improved workforce confidence and innovation: Employees who are comfortable with AI use it effectively, leading to better decision-making and new ideas. Operational efficiency gains: AI literacy helps automate repetitive tasks, streamline workflows and boost productivity. New AI-driven offerings: Some organisations have leveraged AI literacy training to upskill employees, leading to new AI-driven products and services. Greater consumer trust: Companies that prioritise transparency in AI usage – and educate affected individuals – see higher trust levels. Some businesses even involve clients in AI training sessions. Making AI literacy a business priority Organisations cannot afford to overlook AI literacy, given our rapidly changing world and the requirements of the EU AI Act. Investing in education, practical training and ethical AI practices equips employees with the skills they need to work effectively with AI and allows leadership to make informed decisions on deployment and controls. By addressing challenges and leveraging the best strategies, companies can build an AI-literate workforce that drives innovation, enhances efficiency and ensures responsible AI use while meeting compliance objectives. AI literacy isn’t just about understanding how AI works; it’s about ensuring businesses and employees can utilise AI effectively to create meaningful and positive outcomes. If your organisation hasn’t yet prioritised AI literacy, now is the time to start. David O’Sullivan is Director of Privacy, Digital Trust & AI Governance at Forvis Mazars

The Economic and Social Research Institute (ESRI) recently published its report Economic Overview of Ireland and Northern Ireland which provides a high-level comparison of the economies of Ireland and Northern Ireland (NI) over recent years. The report outlines similarities and differences between the two economies in terms of economic growth, labour market trends, living standards, education, health, general well-being and economic structures. The report highlights, that over recent years, the disparity in economic performance and well-being indicators between Ireland and NI is widening with the economy in Ireland displaying stronger economic growth and higher wages and living standards. Some of the key findings in the report are as follows: Ireland's population is growing faster than NIs, largely due to strong net migration in recent years. This has resulted in Ireland having a younger population, with a lower old-age dependency rate. There have been shifts in the labour market over time.  Labour market participation in Ireland has increased significantly since 2010, widening the gap with NI.  In 2022, the participation rate of those aged 16-64 was 76.8 percent in Ireland compared to 72.4 percent in NI. Employment rates in Ireland overtook NI in the period after the financial crisis, reflecting Ireland’s strong recovery. Ireland’s modified gross national income per capita in 2022 was 57 percent higher than NI’s gross domestic product per capita, reflecting stronger economic growth. In terms of wages, the data show a positive gap favouring Ireland, with hourly earnings 36 per cent higher than in NI in 2022. While Great Britain (GB) remains NI’s largest trading partner, NI’s trade with GB has declined since 2015, while trade with Ireland has increased. On a per capita basis, NI residents pay significantly lower personal income tax than those in Ireland (€2,980 in NI vs. €6,725 per capita in Ireland). Corporate tax receipts per capita in Ireland (€5,760) are over five times those in NI (€1,018), reflecting the dominance of multinationals.