Obsessing over Champagne labels in the era of generative AI #EU #regulation #innovation #economy https://
wsj.com/articles/mille
r-high-life-cans-destroyed-in-europe-over-champagne-of-beers-logo-25e2c05c
…
POLICY
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EU Regulation Impact on Innovation: Champagne Label Case Study
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Global AI Leaders and Indian Digital Government Initiatives
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@StabilityAI @Grammarly @runwayml @sosimplified @MURFAISTUDIO @Twain_ai @__anjali__raja @_DigitalIndia @GoI_MeitY @NeGD_GoI @nasscom
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Accountability needed in AI development and deployment
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There needs to be some accountability here!
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Google AI Impact on Content Discovery and Media Ranking
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tant qu'on ne sait pas comment va évoluer gogole avec son AI et l'adoption par les gens, on sait pas trop. Google discover ça va continuer puisque centré sur l'intérêt des gens. Pour google news ca met en priorité les sites medias cités, mais ça n'empêche pas de plus petits media
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Advertising Overload Threatens Quality Content on Digital Platforms
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maintenant il y a plus de pub à lire que de contenu sur certains medias
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NIST Funding: Advancing AI Evaluation Standards and Transparency
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With more funding NIST could: design novel evaluations, investigate the scientific validity of existing evaluations, develop technical standards for how to red team AI systems, design disclosure standards to enhance transparency, and more.
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Congress Investment in NIST for Safer AI Systems
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As Congress evaluates funding levels for 2024, we encourage it to consider an ambitious investment in NIST as a strong step towards creating safer, more innovative AI systems. You can read more in our full post here:
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NIST AI Budget Increase Proposal Reaches Fifteen Million Dollars
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Our proposed $15 million increase is 3X NIST’s requested AI budget, but this figure is not unprecedented – it’s the same amount of funding requested for FY 2022 and FY 2023 (these requests were ultimately only partially met).
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NIST Proposal Measures Quantifies AI System Capabilities Drawbacks
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We believe measuring and quantifying various aspects of AI systems is critical and urgent for helping society better understand the advances and potential drawbacks of increasingly capable AI systems. Read our blog for details on our NIST proposal:
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NIST AI Measurement Science: Facial Recognition and Risk Framework
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NIST has a strong track record working on the science of AI measurement, such as via the Facial Recognition Vendor Test (
https://
nist.gov/programs-proje
cts/face-recognition-vendor-test-frvt
…), and the AI Risk Management Framework (
https://
nist.gov/itl/ai-risk-ma
nagement-framework
…).