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When it comes to compliance, labelling everything as AI might be a bad idea. statistical analysis, models, and prediction, and this practice should continue without any confusion with AI However, AI does have unique characteristics that, if not understood, could pose significant risks to Nevertheless, labelling all of this as AI might unnecessarily create regulatory uncertainty and complexity The need for defining AI is indeed crucial, not only to separate the boundaries of where new risks not

About a year ago, I heard an AI expert suggest that we might need AI to control AI. The real question isn't "should AI control AI instead of humans?" This is where AI has to regulate AI because humans lack the requisite variety. So yes, we need AI to regulate AI where speed and scale matter. But I'm not skeptical anymore about needing AI to regulate AI.

AI will need to be held accountable. We will need different categories to distinguish between each AI capability: AI Machines - AI systems AI Agents - AI Machines with agency but without moral capacity and limited culpability AI Ethical Agents - AI Agents with moral capacity and full culpability AI Machines can still have agency (self-referencing Perhaps, this is what is meant by autonomous AI.

Is the collateral damage from AI worth it, and who should decide? When it comes to AI, we appear to be “hell-bent“ towards developing Artificial General Intelligence ( AGI) so as to consume all available energy, conduct uncontrolled AI experiments in the wild at scale, If we did, we would keep AI in the lab until we studied it carefully. Time will tell if the decisions surrounding AI will prove to be reckless, foolish, or wise.

In this article we will explore sustainability and how it relates to AI technologies. AI. AI technology such as ChatGPT should be designed to be safe. AI Sustainability is perhaps what drives the need for AI safety, security, quality, legal, and ethical Instead, of asking is AI Safe , perhaps we should be asking is AI Sustainable ?

When regulators examine AI systems, they often focus on whether the software meets certain technical We lack the foundational work needed for proper AI governance. The Agentic AI Challenge Let's consider autonomous AI agents—systems that can set their own goals and The typical response is that AI can make decisions better and faster than humans. The European Union's AI Act represents significant progress toward this vision.

on the page of AI history." AI, which Laqua approached from multiple angles, acknowledging that AI is being defined in real-time AI's Domain Diversity Laqua emphasized that no single domain captures the full scope of AI. of AI risk, but what's different with AI is the degree and scope of this uncertainty. The Call for AI Engineers The AI Engineering Body of Knowledge (AIENGBOK) The presentation culminated

When I read about AI in the news, and this includes social media, I am troubled by the way it is often The Need for AI Mythbusters These articles often don’t prove or demonstrate that AI is better, and neither The AI hype machine is definitely operating on all cylinders. Is that what we understand generative AI is - creative? Time for professionals to be AI Mythbusters!

As someone working in compliance during this wave of AI adoption, I've been thinking about how we approach Instead of implementing AI systems and then auditing their outputs, we might design systems that continuously A Different Relationship with AI What strikes me most about reflecting on Jidoka in the context of AI Instead of viewing AI as either fully autonomous or requiring constant supervision, Jidoka points toward For compliance professionals considering AI adoption, this perspective might be liberating.

The Current State of AI Artificial intelligence has indeed made remarkable progress in performing specific AI can analyze medical images, review legal documents, optimize engineering designs, or process geological This framework helps explain why AI excels at certain tasks while falling short of what is required for The Master and his Emmisary Machine-Like Intelligence (Left Hemisphere - apprehending) AI demonstrates their emphasis on standardization and procedural efficiency, have created natural opportunities for AI

AI Assistants - Blessing or Curse? The rise of Generative AI has taken the world by storm, and AI assistants are popping up all over the However, for some, it is just an improvement in productivity, and they question whether the use of AI For those starting to use AI assistants, they are indeed a blessing, providing much-needed relief for The use of AI will be a threat for some but an opportunity for others.

There's a growing urgency to establish regulations for artificial intelligence (AI). consider how existing regulations, standards, and professional oversight bodies can be leveraged for AI Adapting these frameworks to address AI-specific risks could be a quicker and more efficient approach critical infrastructure, public safety, and environmental sustainability, we can promote responsible AI It’s time we considered Lean AI Regulation.