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The AI Now Institute is dedicated to producing diagnostic and actionable policy research on artificial intelligence. Our work explores the complex societal impacts of AI, focusing on key areas such as algorithmic accountability, antitrust issues, biometrics, climate change, and global digital trade. We delve into underexplored policy windows, including labor and technology, large-scale AI models, privacy and competition, and AI industrial policy. Our research emphasizes data minimization as a crucial tool for AI accountability.
Key Research Areas
- Algorithmic Accountability: We examine the risks of entrenching power within the tech industry through emerging AI accountability templates, advocating for structural solutions.
- Antitrust: We investigate structural reforms needed to address the harms caused by Big Tech.
- Biometrics & Affect: We analyze the proliferation of biometric systems despite evidence of harm and untested scientific claims.
- Climate: We study how Big Tech infrastructures contribute to an unsustainable future.
- Global Digital Trade: We explore the secretive negotiation of global trade laws and the tech industry's lobbying efforts.
- Labor & Tech: We investigate worker data rights and the need for clear rules to empower workers.
- Large-Scale AI Models: We scrutinize large-scale AI models and challenge industry narratives that attempt to avoid regulation.
- Privacy & Competition: We focus on regulating Big Tech's data advantage.
- AI Industrial Policy: We analyze the advantages and disadvantages of government-funded AI and related industries.
- Data Minimization: We promote data minimization policies as a tool for AI accountability.
2023 Landscape: Confronting Tech Power
Our 2023 landscape report highlights the need to:
- Put the burden on industry to prove they are not causing harm.
- Break down policy silos.
- Be adaptable and pivot when policy approaches are co-opted.
- Embrace a broad-based theory of change.
About AI Now Institute
We are committed to providing insightful research and analysis on the societal implications of artificial intelligence. Our goal is to inform policy and promote responsible AI development and deployment.
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