AI applications carry unforeseen risks, which can be mitigated by proactive governance to ensure compliance, fairness, reliability, and data privacy protection. Source @Gartner_inc Link https://
gtnr.it/3ZtAYwy via @antgasso #GenerativeAI #Cybersecurity
SAFETY
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AI Governance Mitigates Unforeseen Risks Through Proactive Compliance
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Precision Matters in High Stakes Financial Applications
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Precision matters in high stakes financial applications.
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Type Annotations Demonstrate AI Safety Commitment
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The use of type annotations here shows their commitment to safety
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Smart Shooter AI-Based Fire Control System Technology
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Like this one called Smart Shooter, advertised as developing “fire control systems based on AI, computer vision, and machine learning technologies” with the motto “one shot, one hit.”
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Understanding Opposition Arguments: Alternative Perspectives on AI Initiative
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What's the opposing view, from those pushing back? I haven't heard anything negative before so I'm interested to learn more.
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API Privacy Data Safety Compliance and Regulatory Considerations
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It’s also worth noting that we don’t know what people use our API for, the data sent in and out of your API is yours, besides safety monitoring, we don’t see the application you created. I think this will change in a certain sense (KYC laws) but our goal is to: – make a
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Balancing immediate and existential AI risks concerns
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Interesting, thanks for sharing. I think one issue is that many people who care about immediate risks also worry about existential ones, just not as much as the letter sort of implied.
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Peter Watts Blindsight: Science Fiction Explores AI Consciousness
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A good reason to subscribe to @WIRED is the amazing taste it’s writers have in science fiction. Enjoy this piece on Peter Watts and Blindsight, one of my all-time fave books.
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LLMs Achieve Self-Recursive Code Improvement Capabilities
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This is rather profound Large language models shows signs of being capable of self recursively improving their code. This is both exciting and poses somewhat of a larger risk. What a time to be alive.
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First Do No Harm: Evaluating AI Intervention Consequences
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In the absence of that, at least aim to "first, do no harm" — which means don't propose an intervention at all unless you're confident you know the first, second, and third order effects over a long time scale across all impacted groups.