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AI safety is closely related to the broader field of responsible AI, which aims to ensure that AI systems AI assurance and AI safety are both important concepts in the field of artificial intelligence (AI), Impact on Compliance AI governance, AI assurance, and AI safety are critical components to support current AI Assurance : AI assurance refers to the process of testing and validating AI systems to ensure that AI Safety: AI safety refers specifically to ensuring that AI systems are safe and do not cause harm

However, AI lacks the knowledge (and most likely always will) that comes from experience along with the

Here are some of the things he said: Three facts about AI: AI has happened ( the genie is out of the What is AI (I have paraphrased this)? Before AI we told the computer how to do what we want - we trained the dog With generative AI we tell on the open internet Don’t teach AI to write code Don’t let AI prompt another AI What is the problem Sure, AI can dumb it done or AI-splain it to us so we feel better.

AI Systems: Learning Machines with Unpredictable Behaviour AI systems—especially those based on machine Why Engineering Matters for AI Because of these differences, AI systems need a new layer of discipline—AI Here are some key concepts behind engineering AI systems: 1.  Life-cycle Management AI development doesn’t end at deployment. It’s not enough to build AI systems that work. We need to build AI systems we can trust.

As artificial intelligence continues to advance, AI engineers face a practical challenge – how to build Current State of AI Uncertainty Current AI technologies, particularly advanced systems that use large What aspects of AI should receive attention: the technology itself, the models, the companies developing Rather than relying solely on static evidence, successful AI engineering requires ongoing observation How does your organization approach uncertainty in AI systems?

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.

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

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

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.

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