Research Archives - AI Now Institute
Publication Types Guest Post Research Analysis Collection Policy Brief Clear filter Research Areas Accountability Biometrics Climate Geopolitics & Industrial Policy Inequality Labor Markets & Competition Privacy & Surveillance Public Interest AI Safety & Security View Full Index Reframing Impact: AI Summit 2026 Research Jan 15, 2026 North Star Data Center Policy Toolkit: State and Local Policy Interventions to Stop Rampant AI Data Center Expansion Research Dec 3, 2025 Fission for Algorithms: The Undermining of Nuclear Regulation in Service of AI Research Nov 11, 2025 Artificial Power: 2025 Landscape Report Research Jun 3, 2025 New Report on the National Security Risks from Weakened AI Safety Frameworks Research Apr 21, 2025 AI Now Coauthors Report on Surveillance Prices and Wages Research Feb 20, 2025 AI Generated Business: The Rise of AGI and the Rush to Find a Working Revenue Model Research Nov 21, 2024 New AI Now Paper Highlights Risks of Commercial AI Used In Military Contexts Research Oct 22, 2024 Redirecting Europe’s AI Industrial Policy Research Oct 15, 2024 Lessons from the FDA for AI Research Aug 1, 2024 Public Interest AI for Europe? Shaping Europe’s Nascent Industrial Policy Research Jul 1, 2024 Safety and War: Safety and Security Assurance of Military AI Systems Research Jun 25, 2024 AI Nationalism(s): Global Industrial Policy Approaches to AI Research Mar 12, 2024 Advancing Racial Equity Through Technology Policy Research Sep 28, 2023 Computational Power and AI Research Sep 27, 2023 Zero Trust AI Governance Research Aug 10, 2023 Climate Justice and Labor Rights | Part II: Labor Organizing and Environmental Justice in Tech, Past and Present Research Aug 3, 2023 Climate Justice and Labor Rights | Part I: AI Supply Chains and Workflows Research Aug 2, 2023 1 / 4
Executive Summary
The AI Now Institute's research archives present a comprehensive analysis of the multifaceted impacts of artificial intelligence on society, focusing on areas such as accountability, privacy, labor, and national security. The articles span a wide range of topics, from the environmental impact of AI data centers to the ethical implications of AI in military contexts. The research underscores the need for robust policy interventions to address the challenges posed by AI, emphasizing the importance of public interest and safety frameworks.
Key Points
- ▸ The environmental and labor impacts of AI data centers are significant and require state and local policy interventions.
- ▸ AI safety frameworks are critical for national security and must be strengthened to prevent misuse.
- ▸ The integration of AI in military contexts poses unique ethical and safety challenges that need to be addressed.
- ▸ Europe's AI industrial policy should prioritize public interest and safety.
- ▸ The FDA's regulatory approach provides valuable lessons for AI governance.
Merits
Comprehensive Coverage
The articles cover a broad spectrum of AI-related issues, providing a holistic view of the challenges and opportunities presented by AI.
Policy-Oriented Research
The research is highly policy-oriented, offering actionable recommendations for policymakers and regulators.
Interdisciplinary Approach
The articles integrate insights from various disciplines, including law, technology, and social sciences, enhancing the depth and relevance of the analysis.
Demerits
Lack of Empirical Data
Some articles rely heavily on theoretical analysis and could benefit from more empirical data to support their conclusions.
Geographical Focus
The research tends to focus on Western contexts, particularly the U.S. and Europe, which may limit its applicability to other regions.
Technical Complexity
Some of the technical discussions may be inaccessible to non-experts, potentially limiting the broader impact of the research.
Expert Commentary
The AI Now Institute's research archives provide a valuable contribution to the ongoing discourse on the societal impacts of artificial intelligence. The articles collectively highlight the urgent need for policy interventions to address the environmental, ethical, and security challenges posed by AI. The interdisciplinary approach adopted by the researchers enhances the depth and relevance of the analysis, offering actionable recommendations for policymakers and regulators. However, the research could benefit from more empirical data and a broader geographical focus to ensure its applicability to diverse contexts. The emphasis on public interest and safety frameworks is particularly noteworthy, as it underscores the importance of ethical considerations in the development and deployment of AI technologies. Overall, the research serves as a critical resource for stakeholders seeking to navigate the complex landscape of AI governance and policy.
Recommendations
- ✓ Incorporate more empirical data to strengthen the evidence base for policy recommendations.
- ✓ Expand the geographical scope of the research to include diverse regions and contexts.
- ✓ Simplify technical discussions to make the findings more accessible to a broader audience.
