 The ways board directors prepare for board meetings is changing. Gone are the days when most directors simply turn up for the meeting, open the supplied packs and rely on their instinct as they sit through presentations by management (read: work it out on the fly). Most directors these days are well-intentioned, having diligently read papers before the meeting (having received them via a portal tool, PDF stack or thick package of printed materials). Some of these directors augment their reading with additional enquiries, in an effort to fill in blanks or formulate suitable questions to ask during the meeting. Though a small coterie still rely on their instinct to listen carefully and discern in real-time (read: work it out on the fly, during the board meeting), the world is moving on, and rapidly so. The emergence of AI assistants is proving a boon for smart directors: they are embracing a new generation of tools to enhance their preparation—on the basis that better preparation is an antecedent of better decisions. Preparation takes time, of course, and many directors say, "It'd be fine if I had the time." My response is curt: "Given the duties you owe, and the importance of governing with impact, what else might be more important than preparing well?" In the spirit of collegial learning, how useful are Shekshnia and Yakubovich's insights, and how are you using AI to augment your board meeting preparations (if at all)? Please comment below.
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 Guest blog: Dr. Cletus Kadzirange (GBS Oxford University, United Kingdom) By now, almost everyone has heard that artificial intelligence is revolutionising the commercial world. In addition to creating customer insights and automating procedures, it offers advice on hiring, pricing, and medical diagnosis. Around board tables, the atmosphere is frequently positive—AI is quick, intelligent, and full of potential. While boards are positive about possibilities, are they prepared to govern AI? This is a governance question, not a technological one. The most progressive boards are starting to realise that monitoring AI requires far more than a digital strategy, because AI has the potential to affect reputation, social license, compliance, ethics, brand, and more besides. Questions boards should consider centre on accountability, transparency and long-term risk management:
AI is no longer a back-office technology. Already, it has emerged as an important enabler, influencing operational, strategic and reputational performance. Consequently, boards that ignore AI as someone else's problem may be blindsided. Boards need to ask questions to ensure AI literacy is adequate, risks have been well-assessed and that governance practices are fit-for-purpose. This is not a matter of dreading the unknown: it is about providing effective steerage and guidance. Has your board discussed AI governance in a genuine, systematic way yet? It not, it might be time to get started. About Dr. Cletus Kadzirange:
Cletus is a pracademic in corporate governance and company law who consults, trains and writes on various aspects of corporate law, directors' duties and governance. His specific expertise lies in implementing forward-thinking governance frameworks and sustainable practices that foster long-term value and ethical stewardship.  I had the good fortune to catch-up with a dear friend and professional associate yesterday; someone I have not had the chance to interact with for nearly nine months. Tony and I chatted about all manner of things: his new barn (read: man cave and office); our exploits with Rosa (read: 1951 MG Y-type); geopolitics; ChatGPT; and more besides. What was fascinating was that we both found ourselves chatting as if the last time we spoke was yesterday. Before we knew it, some 75 minutes had passed by. My father told me that this is a good thing; a sign of true friendship. One aspect of our conversation that piqued my attention was Tony’s investigations around artificial intelligence and board reports—or, more specifically, his application of large language model tools to discern and make sense of board reports. The rapid progress over the past twelve months is a sight to behold. Tony summarised his experiments and findings. Did you know that if you feed ChatGPT a set of board papers and ask it to summarise the key points, including nuances and appropriate questions to ask in a board meeting, the likelihood of the responses being both insightful and relevant is high? You can also use it to discern whether directors have read and understood the board papers! I have been a sceptic about the application of AI tools for some time but, on the strength of what was outlined, I’m ready to believe ChatGPT (or Claude, or other) can be a real boon for directors struggling to make sense of large data sets. While context eludes ChatGPT (and all other LLMs), and meaning and reasoning too, the direction and pace of travel seems to be reasonable. Certainly, progress is rapid. I went to bed after our call pondering a plethora of options, including whether board directors might be supplanted by machinery in future. Of this, I am doubtful. But where LLMs could be quite valuable is to distinguish between lights in the distance: those that are sunlight at the of the tunnel, and those that are a train heading towards me at great speed. And so, with 2025 underway, is your board ready for what lies ahead? Can it, for example, confidently distinguish between [sun]light at the end of the tunnel and a train headlight? Has it carefully considered options having read widely, invoked various tools including AI tools and debated options; or, does it remain reliant on what management feeds up in the board report? To rely on management reports as the sole source of ‘truth’ is not smart; it never has been. PS: this is Rosa:   Today is the last day of 2024, the day many people reflect on the year gone and ponder what might lie ahead. Everything from checking off goals set twelve months earlier, to setting goals and resolutions for the year ahead. I am amongst those who 'reflect and set' around this time of the year. Normally, the exercise involves reading back through notes and notebooks, and pondering goals. This year, I asked for help; not help from anyone who knows me really well, but from a newly-released LinkedIn feature, Coauthor. This is what Coauthor, an AI tool, curated, in both textual and info-graphical form: What happens when a board advisor steps into new territories while staying true to core principles? 2024 showed me. The year brought significant evolution in how I serve boards and directors, particularly through co-founding govern& with Jurate Stanisauskiene to help boards in the Baltics achieve sustainable outcomes.  While I may not have highlighted these specifics 'by hand', the general tenor of the summation by Coauthor is pretty good—save one word: expert. While my record implies a level expertise in several areas, I make no claim to be an expert director, expert advisor or even a governance expert. To use 'expert' in this way is, I think, self-aggrandisement. I am, straightforwardly, someone with a deep interest in the performance of organisations and the contributions of boards of directors. So far, so good. But what of the future? How does AI do when looking ahead? What does Coauthor have to say in relation to 2025? This: govern& will expand its impact in the Baltics while I continue advancing thought leadership in corporate governance. The focus remains helping boards see around corners and make decisions that drive sustainable outcomes. This is a reasonable attempt, as far as it goes. What Coauthor does not, and cannot, 'know' is what sits in the wings, much less how other as yet unknown factors might influence me in 2025. My intent to finish writing Boardcraft: The art of governing with impact is not mentioned, nor is a significant initiative to support boards in several developing nations, or speaking engagements at conferences in New York and Milan. And therein lies a critical limitation. When AI writes the news, it can but summarise the past. And, generally, speaking, it does this very well. Making statements about what might lie ahead is much more difficult; anything requiring mimicry of human traits—such as intuition, reasoning, sense-making and undeclared preferences—are beyond its capabilities. Boards need to bear this in mind when considering if, how and where AI might 'fit' when considering strategic options. AI can be an incredibly powerful enabler, and its application to drive efficiencies and expose new sources of competitive advantage should be explored. But, great caution is needed: as attractive as the outputs from LLM models appear to be, their predictive power beyond the next word, or ability to credibly simulate social traits, is rather more limited. Regardless, thank you for your supporting 2024, and best wishes for what lies ahead in 2025.
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