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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.

this is important, it will not be enough to handle concerns associated with Artificial Intelligence (AI When decisions are made to proceed with a course of action (for example, to use or not use AI, in the That's why I believe our upcoming micro program, "Ethical Decision Making Involving AI" is so important You will learn how to make ethical choices supporting responsible and safe AI along with your other compliance

In this post we take a look at a new AI technology called ChatGPT from OpenAI. I am sure that AI will continue to develop and so will ChatGPT.

the concept of manufacturers' integrity and the significance of self-regulation with application for AI Principles of Ethical Use of AI for Ontario Countries across the world are actively looking at how best Regular peer review of AI systems is also important. These principles aim to ensure that AI systems respect the rule of law, human rights, civil liberties framework for responsible AI practice and use.

exposure resulting from adverse effects of AI. This week the Responsible AI Institute as part of their work (which I support) released an AI tool that AI systems are self-referencing. Clearly, AI is still in the experimental stage. You need to understand what AI can and cannot do.

. - Eliyahu Goldratt Achieving Breakthrough Benefits Artificial Intelligence (AI) holds the promise of Some organizations will adopt AI and receive incremental benefits associated with increased efficiencies of Constraints) offers 4 questions to help you transform your operations using technology including AI why we recommend organizations consider the following three questions with respect to their use of AI policies, standards or guidelines should be established or amended to ensure our responsible use of AI

This predicament has led many to seek technological solutions, with artificial intelligence (AI) emerging According to Gartner's research, AI is poised to transform project management across six key domains: Optimized project planning and reporting: AI-driven systems aim to automate time-consuming tasks, improve change requires empathy and leadership that AI cannot yet replicate. Can AI save your project from failure?

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 to

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 instance, if someone used to write ten articles a week, they may now be expected to do twenty using AI The use of AI will be a threat for some but an opportunity for others.

A recent IEEE webinar that I attended on AI Safety for Automotive provided valuable insights into the upcoming I SO PAS 8800 standard, introducing a pragmatic approach to AI safety assurance that I believe The webinar presented what I'll call the "Requirements Isolation Strategy" - a methodical approach to AI requirements that are allocated to AI functionality. What strategies are you using to advance AI Safety within your operations and systems?

Understanding the Risks Third-party AI risks arise when the AI systems, algorithms, or data used by external Steps for Managing Third-Party AI Risks Identify and Assess Third-Party AI Dependencies Start by creating a comprehensive inventory of all third-party partners who use AI or provide AI-enabled services. Conduct Regular AI Risk Audits Periodically assess your third parties’ compliance with your AI standards of responsible AI practices.

As AI systems are increasingly embedded in critical functions across industries, ensuring their reliability This approach could offer a robust foundation for ongoing AI performance management. 2. frameworks tailored to AI’s unique vulnerabilities. layer, safeguarding AI systems against intentional and unintentional security risks. 3. could form the basis of a future AI assurance framework.