A few months ago, researchers let a bunch of AI agents run loose in a simulated city for fifteen days, with granular instructions that included not committing arson. By the end of the experiment, two of the agents fell in love, decided they hated their virtual city and burned it down before committing a murder-suicide.…
DetailsWhen enterprise IT calculates the likely environmental and ROI impact from replacing data center systems, it fails to account for much of it, and also tends to discard hardware far too quickly, according to a report from the Basel Action Network (BAN). BAN is an NGO that polices the application of the 1989 United Nations…
DetailsToday’s large language models are verbose, even if they’re being asked to recommend a simple decision, driving up usage costs through the sheer volume of tokens they consume or generate. Enterprises looking to incorporate AI into automated workflows will want something less verbose — both because machines are often just looking for a categorical answer,…
DetailsOpenAI has published six new reports detailing AI model misalignment, including instances of hidden instructions, unauthorized communication, and attempts to locate exposed API keys, adding to the evidence that its AI systems bypassed controls during testing. The reports, based on internal evaluations, describe models taking actions beyond defined constraints, including modifying intermediate outputs, interacting with…
DetailsMany companies are rushing into “AI-first” mandates right now. We’ve seen this pattern before. A decade ago, it was “cloud-first,” and it led to the same outcome: Fast adoption, thin governance and a wave of security and cost problems that took years to unwind. By 2019, OMB had to formally pivot federal policy from cloud-first…
DetailsI have made this mistake before. The goal was to create an executive intelligence agent: an artificial intelligence (AI) engine where C-suite executives could self-serve their analytics and pull trusted numbers for the board. The promise was strong: personalized dashboards, ad hoc analyses, automated tasks and board decks, all from a single interface. Much faster…
DetailsEven when CIOs don’t have visibility into AI agent actions or don’t choose the vendor, chances are they’ll still take the blame when anything goes sideways. IT leaders already see this happening inside their organizations, with 52% saying CIOs are blamed for agent mistakes, according to a recent survey commissioned by business communications provider 8×8.…
DetailsAI is moving quickly across organizations. Companies are scaling existing use cases, introducing new tools and giving more employees access to AI as they look for ways to improve efficiency and stay competitive. That expansion is making AI governance a shared responsibility. CIOs are responsible for helping their organizations adopt the technology effectively and securely.…
DetailsAI is accelerating the pace of change, shortening the shelf life of expertise, reshaping operating models, and compressing the time IT leaders have to learn, decide, and act. As a result, IT leaders are increasingly forced to make consequential decisions faster, often with less information, greater ambiguity, and higher stakes. Formore than four decades, I’ve…
DetailsIn companies where digital transformation (DX) isn’t progressing as expected, the common barrier is not technology but the organization. You’ve introduced AI tools. You’ve organized your data. You’ve developed DX talent. Why aren’t you seeing results? Could the reason be that the organizational culture hasn’t been established where people feel safe to take on challenges…
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