Hub News
On Thursday, May 2 at 12 pm EST, the Hub will host a webinar with Dr. Viktor Mayer-Schönberger co-author with Urs Gasser, of Guardrails: Guiding Human Decisions in the Age of AI. Mayer-Schönberger is one of the leading scholars of data; Professor of Internet Governance at Oxford University, UK. The book argues that technological solutions can lead to results we don’t always want, and they explain how society itself can provide guardrails more suited to the digital age, ones that empower individual choice while accounting for the social good, encourage flexibility in the face of changing circumstances, and ultimately help us to make better decisions.
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On May 22, at 11 AM, the Hub will host a webinar with Bruce Schneier of Harvard Kennedy School, and his work on a public AI option. We will send out a link shortly. Please mark your calendars
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Digital Trade and Data Governance News
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The Federal Trade Commission and other member agencies of the International Competition Network (ICN) jointly issued a statement about how regulatory agencies can increase their tech capacity to keep pace with the increasing use of technology across industries. The joint statement grew out of a first-ever Technology Forum convened in Washington DC by competition and consumer protection authorities.
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Artificial Intelligence News
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The United Nations adopted its first resolution on AI, emphasizing human rights compliance and international cooperation for safe AI systems. It urges the private sector to adhere to laws and promote fair competition in the AI marketplace.
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The Biden-Harris Administration announced the completion of all 180-day actions mandated by President Biden's Executive Order on AI. Federal agencies have implemented frameworks to prevent AI misuse, released guidance on worker protection laws, and recruited over 150 AI professionals for government roles. They also advanced AI in scientific research, clean energy, and health care.
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Meta held an international community forum on generative AI, with findings highlighting a preference for AI chatbots with transparency and control features.
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The OECD published a policy paper titled “Framework for Anticipatory Governance of Emerging Technologies,” which outlines a comprehensive framework to address the governance challenges posed by emerging technologies. The framework emphasizes the importance of values embedding, foresight efforts, stakeholder engagement, agile regulation, and international cooperation in managing the risks and maximizing the benefits of emerging technologies.
- Stanford's Human-Centered Artificial Intelligence (HAI) institute published the 2024 AI Index Report, a comprehensive examination of AI trends.
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Lawmakers in Tennessee passed legislation making it the first state to protect musicians from AI replication threats. The “Elvis Act” safeguards vocal likenesses by prohibiting AI tools from replicating an artist's voice without consent.
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The National Academies of Sciences, Engineering, and Medicine published a summary of the US-UK Scientific Forum on Researcher Access to Data, held to address challenges in data access and sharing that hinder solutions to global issues like climate change and misinformation. The summary highlights technical, legal, and ethical barriers to data sharing and emphasizes the need for standardization, new tools, and cross-disciplinary collaboration.
- The NTIA's AI Accountability Policy Report stresses the importance of accountability in AI systems, emphasizing transparency and evaluation, and consequences, and offers policy recommendations to ensure trust and mitigate risks.
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An expert group presents their version 2.0 proposal for a comprehensive artificial intelligence law in China.
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Shayne Longpre and colleagues explore critical flaws in existing infrastructure for AI training data management, advocate for a unified framework with standardized data provenance, and urge a collaborative effort among policymakers, developers, and data creators to enforce clear standards and documentation practices.
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Writers for Politico report on how a gathering of global leaders, including U.S. Vice President Kamala Harris and Meta’s Nick Clegg, convened to address the escalating threat of uncontrolled artificial intelligence, failed to reach a consensus on managing the technology.
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A leading economist now believes AI can help create more middle class jobs.
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“Knowing Machines” researches how machine learning systems interpret data, offering critical methodologies and tools for understanding training datasets’ role in shaping machine learning outcomes.
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