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There are those who think that AI is only software. AI will save us, perhaps, even from ourselves. AI Middle Earth What character are we playing in the AI story and where are we on the map of AI Middle The real world is not in our AI models either. Engineers who are willing to fight the AI Dragon of Uncertainty.

AI adoption is delivering efficiency, not innovation — and we have begun to mistake the one for the other Almost everything the AI economy sells today is the first kind — summarize the document, draft the email I have come to believe AI is having its ERP moment, now, at civilizational scale and three orders of What AI actually diminishes is not the human. It is the necessity of that fusion. And for most enterprises, what AI adoption actually delivers is narrower than the promise — the same

AI Risk Containment Architecture Industrial leaders in safety-critical, highly regulated sectors like Direct integration of AI into operational or enterprise systems introduces unacceptable risks, as even This paper proposes a similar architecture for AI: one that separates Artificial Intelligence Technology (AIT) into bounded domains with controlled interfaces to Operational Technology (OT) and Information

Technology Life-cycle As I observe the current state of Artificial Intelligence (AI) and the rush surrounding As AI moves beyond pure research, distinct engineering domains are starting to crystallize. Too many organizations and leaders are treating AI as if it were already in the commodity phase—ready have expected the early pioneers of computing to immediately build data centres, we shouldn't expect AI He actively contributes to the profession through his leadership roles, serving as AI Committee Chair

This is one way to evaluate what is happening with AI.

Why AI Is Different: AI presents unique risks because of its ability to operate with minimal human oversight Challenges with AI Regulation: While regulations like the EU AI Act are emerging, they are still new A Program to Govern AI: A comprehensive AI governance program should include four elements: AI Code of AI Design Standards: Technical guidelines for AI development, emphasizing ethical considerations. AI Safety Policies: Measures to prevent harm and ensure robust testing and monitoring of AI systems.

As AI capabilities rapidly advance, a stark prediction is emerging from industry leaders: AI Engineering AI operations (managing and maintaining AI-powered systems at scale). Survival Strategies in an AI-First World AI represents a genuine threat to traditional engineering careers to AI system design; adopt AI engineering knowledge and methods into your practice Specialize in AI reliability and maintenance  - AI systems need monitoring, debugging, and optimization Develop AI model

the European Union's AI Act, the UK National AI Strategy and Proposed AI Act, Canada's Artificial Intelligence AI. AI is safe and ethical. UK National AI Strategy and Proposed AI Act The UK national AI strategy, launched in November 2021, is AI talent.

While this is just one example, I know my experience with AI chat applications is not unique. Many are fond of attributing human qualities to AI which is called anthropomorphism . However, if we are going to anthropomorphize then why not go all the way, and say AI lied . We don’t do this because it applies a standard of morality to the AI system. That's why when it comes to AI systems we need to stop attributing human qualities to them if we hope

Review and Boston Consulting Group (BCG), “The Future of Strategic Management: Enhancing KPIs with AI more than 3,000 managers and interviews with 17 executives to examine how managers and leaders use AI In this report the authors categorize AI-enhanced KPIs in the following way: Smart Descriptive KPIs : Smart Prescriptive KPIs : use AI to recommend actions that optimize performance. (Goodhart’s Law) What steps should be followed when using AI for KPIs?

ladder offers the right level of analysis to further the discussions regarding responsible and safe AI At this level of analysis we are talking about AI Systems (i.e. engineered systems) not about systems that use AI technology (Embedded AI). across the socio-technical system, not just the AI technology. This is where professional AI engineers are most helpful and needed.

Artificial Intelligence (AI) is on a trajectory to revolutionize various industries, from healthcare Ethical AI in Action One notable example of integrating ethics into AI development is the concept of explainable AI (XAI). XAI emphasizes transparency and interpretability in AI systems, ensuring that decisions made by AI models integrity into AI initiatives.