All 3 remaining standing or limping US robotaxi companies under investigation by National Highway Traffic Safety Administration NHTSA. Together they have driven 70 million miles, less than 1% of daily 9 billion miles in the US, so it is hard to measure their safety performance.
REGULATION
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Open Access Publishing: Balancing arXiv Visibility with Peer Review
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And if you have to do one more click to get to the open arXiv version, that hardly seems like a hardship. OTOH, people often just miss the peer reviewed version because they get sent directly to arXiv.
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Responsible AI Design: Prioritizing People and Planet Over Profit
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Prioritizing People and Planet as the Metrics for Responsible AI: https://
standards.ieee.org/wp-content/upl
oads/2023/07/ead-prioritizing-people-planet.pdf
… From @IEEEorg – Where you don’t begin design of tech asking what metrics can we use to put people and planet first, you’ll prioritize maximization of fiscal growth by default vs P&P. -
Big Energy and Unions Influence on AI Policy Decisions
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You’re bought and paid for by big energy and unions.
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Building Resilient Civilization in the AI Era
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We have published our first blog post on building a resilient civilization in the AI era. As this transformative technology reshapes our world, it is essential that we prepare for the changes ahead. res/civ
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Sourcing challenges and regulatory hurdles in AI development
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Very hard to source and regulation
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Balancing AI Development with Comparable Safety Investment Resources
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I am not "blindly opposing AI". I think it can be tremendously beneficial in areas like healthcare.
I am simply advocating that as we put huge resources into advancing AI, we put comparable resources into ensuring it is safe -
Biometric Data Concentration Risks and Privacy Concerns
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EB: You don’t want to be doing biometrics all the time, but you also don’t want it, like, all in one place. Like, Clear should not have everyone’s travel data and everyone’s health data. No, thank you. All right, next. >>
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Combat AI Bias: Building Fair and Accountable Systems
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This article delves into the origins and consequences of #AIbias in various sectors and offers actionable steps for organizations and individuals to build AI systems that are #fair, #accountable, and #transparent. https://
forbes.com/sites/bernardm
arr/2024/05/24/building-responsible-ai-how-to-combat-bias-and-promote-equity/
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Harvey Partners to Build Domain-Specific Legal AI Models
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We are very excited to partner with Harvey to help build domain-specific models! Our platform's deployment flexibility and high customisation capabilities will help Harvey address the highly regulated legal industry.