An AI-based computer system can gather data and use that data to make decisions or solve problems – using algorithms to perform tasks that, if done by a human, would be said to require intelligence. The benefits created by AI and machine learning (ML) systems for better health care, safer transportation, and greater efficiencies across the globe are already happening. But the increased amounts of data and computing power that enable sophisticated AI and ML models raise questions about the privacy impacts, ethical consequences, fairness, and real world harms if the systems are not designed and managed responsibly. FPF works with commercial, academic, and civil society supporters and partners to develop best practices for managing risk in AI and ML and assess whether historical data protection practices such as fairness, accountability, and transparency are sufficient to answer the ethical questions they raise.
Best Practices for AI and Workplace Assessment Technologies
The Future of Privacy Forum, along with ADP, Indeed, LinkedIn, and Workday — leading hiring and employment software developers — released Best Practices for AI and Workplace Assessment Technologies. The Best Practices guide makes key recommendations for organizations as they develop, deploy, or increasingly rely on artificial intelligence (AI) tools in their hiring and employment decisions. Organizations are incorporating […]
Future of Privacy Forum and Leading Companies Release Best Practices for AI in Employment Relationships
Expert Working Group Focused on AI in Employment Launches Best Practices that Promote Non-Discrimination, Human Oversight, Transparency, and Additional Protections. Today, the Future of Privacy Forum (FPF), with ADP, Indeed, LinkedIn, and Workday — leading hiring and employment software developers — released Best Practices for AI and Workplace Assessment Technologies. The Best Practices guide makes […]
How Data Protection Authorities are De Facto Regulating Generative AI
The Istanbul Bar Association IT Law Commission published Dr. Gabriela Zanfir-Fortuna’s article, “How Data Protection Authorities are De Facto Regulating Generative AI,” in their August monthly AI Working Group Bulletin, “Law in the Age of Artificial Intelligence” (Yapay Zekâ Çağinda Hukuk). Generative AI took the world by storm in the past year, with services like […]
The Spectrum of Artificial Intelligence Report & Infographic
The Spectrum of Artificial Intelligence – Companion to the FPF AI Infographic has been updated in June 2023 to account for the development and use of advanced generative AI tools. In December 2020, FPF published the Spectrum of Artificial Intelligence – An Infographic Tool, designed to visually display the variety and complexity of Artificial Intelligence […]
FPF Releases Generative AI Internal Policy Checklist To Guide Development of Policies to Promote Responsible Employee Use of Generative AI Tools
Today, the Future of Privacy Forum (FPF) releases the Generative AI for Organizational Use: Internal Policy Checklist. With the proliferation of employee use of generative AI tools, this checklist provides organizations with a powerful tool to help revise their internal policies and procedures to ensure that employees are using generative AI in a way that […]
Insights into Brazil’s AI Bill and its Interaction with Data Protection Law: Key Takeaways from the ANPD’s Webinar
Authors: Júlia Mendonça and Mariana Rielli The following is a guest post to the FPF blog by Júlia Mendonça, Researcher at Data Privacy Brasil, and Mariana Rielli, Institutional Development Coordinator at Data Privacy Brasil. The guest blog reflects the opinion of the authors only. Guest blog posts do not necessarily reflect the views of FPF. […]
Newly Updated Report: The Spectrum of Artificial Intelligence – Companion to the FPF AI Infographic
Today, we are re-releasing the report: The Spectrum of Artificial Intelligence – Companion to the FPF AI Infographic with new updates to account for the development and use of advanced generative AI tools. In December 2020, FPF published the Spectrum of Artificial Intelligence – An Infographic Tool, designed to visually display the variety and complexity […]
Generative AI for Organizational Use: Internal Policy Checklist
FPF’s Generative AI for Organizational Use: Internal Policy checklist helps decision-makers revisit their internal policies and procedures. The Checklist provides guidance in four areas:
Unveiling China’s Generative AI Regulation
Authors: Yirong Sun and Jingxian Zeng The following is a guest post to the FPF blog by Yirong Sun, research fellow at the New York University School of Law Guarini Institute for Global Legal Studies at NYU School of Law: Global Law & Tech and Jingxian Zeng, research fellow at the University of Hong Kong […]
AI Verify: Singapore’s AI Governance Testing Initiative Explained
In recent months, global interest in AI governance and regulation has expanded dramatically. Many identify a need for new governance and regulatory structures in response to the impressive capabilities of generative AI systems, such as OpenAI’s ChatGPT and DALL-E, Google’s Bard, Stable Diffusion, and more. While much of this attention focuses on the upcoming EU […]