It’s no secret that AI’s consumption of water, energy, and land, is raising serious concerns in many quarters with some questioning whether we really need to use vast LLMs trained on vast, often “polluted” datasets, to perform relatively simple tasks.

For senior leaders, the challenge is clear: trust is the missing ingredient in AI adoption. The organisations that will thrive are those embedding Transparency, Explainability, and Accountability into their AI strategies

Image created in Canva / Alt-text: A wireframe digital head with overlaid text about AI limitations. AI is everywhere, from boardroom strategy to operational efficiency. At the moment, AI seems to be flavour of the month (every month), despite scepticism and lack of trust among many users. It’s also true that many C-suite leaders are under pressure to “do something with AI.” This often leads to organisations leaping into (AI) implementation without fully understanding what th

Image/Canva Alt-text: A woman interacts with a digital interface displaying weather, diet, and news information in a kitchen What Is AI? AI systems  (namely Gen-AI), use historical data to predict future outcomes. These systems learn by example, not by understanding Large Language Models  (LLMs) are designed for probability, not for inclusion Data matters : AI learns patterns from data. If the data is flawed, the outcomes will be too What Is Responsible AI? Responsible AI mea

CEOs are increasingly talking about “AI-first” organisations, often with little consideration for how this message is being interpreted (or received) by their employees.

We often talk about having a “human-in-the-loop” as if it guarantees safety and fairness in AI systems. But what if that human doesn’t have the right tools, authority, or understanding to intervene effective.

AI has the potential to transform the employee experience, from the very first touchpoint to long after someone has left the organisation

Whether building an HR-AI solution or other, Participatory Development means these communities should be actively involved in shaping the solutions meant to help them

Image/Canva Alt-txt: A group of people in a conference room watching a presentation on a large screen The coming years will undoubtedly bring challenges for HR. Yet within those challenges lie opportunities for the department to prove its strategic leadership role in the age of AI Lately there seems to be increasing criticism of HR and the much-circulated Coldplay kiss-cam incident featuring an American CEO and CPO over the summer, did little to improve perceptions. The comin

If you walked into a restaurant and the chef admitted they’d never serve their food to their own children, what would you think? 

Image/Canva Alt-text: A business meeting with five people, two men shaking hands across a table. While AI can draft, only humans can build trust and trust requires visibility HR sits at the centre of culture, talent and trust, all three of which determine whether organisations thrive in the age of AI.  Yet, despite its strategic importance, HR’s influence is too often underestimated. The reality is this, while AI may be driving transformation, it is people who will decide w

• As custodians of trust, people data, and culture, HR must be the function that is most alert to the Shadow AI vulnerability and must therefore not leave this unmanaged.

From clinical breakthroughs to widening access to education, AI can be a force for good. However, AI’s problem begins upstream - with the...

ExecutiveGlobalCoaching.com/InVideo As AI continues to advance, it is important for CHROs to embrace their role and position themselves as strategic AI partners to CEOs and the executive bench. This is more important than being passive observers of AI development, deployment, and adoption, within organisations.   The Importance of a Strategic Partnership AI will increasingly impact various HR functions, such as Talent Acquisition, Employee Engagement, and Learning and Develop

HR is perfectly positioned to shape how AI is designed, deployed, and adopted, ensuring it delivers value while protecting people, culture, and trust. I explain how and why

Building AI through the lens of inclusion fosters diverse perspectives and expertise in the development, training, and application of LLMs and other AI models.

Sources: EU, Deloitte, William Fry It's been described by some as GDPR on steroids. If you think the Act doesn’t apply to you because...