When AI Fails: Rebuilding Consumer Trust Fast
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Ethics and policy in AI focus on ensuring that artificial intelligence is developed and used responsibly, addressing issues such as privacy, bias, transparency, and accountability. Key ethical considerations include mitigating biases in AI algorithms to prevent discrimination, safeguarding personal data to protect privacy, and ensuring AI decisions are transparent and explainable. Policy measures often involve creating regulations and guidelines to govern AI development, promoting ethical standards, and fostering collaboration between governments, industry, and academia to address the societal impacts of AI
Audit Trails for Black-Box AI: Challenges and Solutions
Introduction to Audit Trails in AI The Role of Audit Trails
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Artificial Intelligence has undoubtedly revolutionized how we interact with technology. But
LASR Labs: Pioneering the Future of AI Safety
LASR Labs, short for London AI Safety Research Labs, is a
Explainability in AI Accountability: From Black Boxes to Glass Boxes
Why Explainability Matters in AI Demystifying the Black Box Problem AI