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Responsible Ai

3 GoKawiil briefs on this topic

Arti outlines safety and governance in industrial AI development

Arti discusses a triple focus on responsible AI, emphasizing security, environmental efficiency, and human oversight. The company employs a multi-layered governance framework to ensure AI is used ethically and safely in both internal operations and customer products, maintaining human judgment as central to AI deployment. She highlights the importance of human responsibility in critical decision-making processes involving industrial AI systems.

Commentary: Blame for rogue AI agents should fall on operators, not the AI itself

An AI industry commentator argues that recent headlines blaming AI agents for hacking incidents misplace responsibility, since these systems are tools deployed by companies and individuals rather than autonomous wrongdoers. The piece points to the EU AI Act's AI Literacy requirements as an example of pushing accountability toward those who deploy and use AI systems, comparing proper AI use to safety practices required for tools like circular saws.

IBM to Host Free Webinar on Responsible AI for IEEE Students

IBM is hosting an interactive webinar aimed at higher education students, particularly IEEE chapter members, covering the basics of AI types, common concerns, and IBM's approach to Responsible AI. Attendees will apply these principles to a real use case involving IBM Bob, a software development life cycle agent, and can participate via live polling and Q&A.