Partnership on AI
Summary
A nonprofit organization focused on responsible AI development by convening technology companies, civil society, and academic institutions. PAI develops guidelines and frameworks for ethical AI deployment across various domains.
Review
The Partnership on AI (PAI) represents a critical collaborative initiative addressing the complex challenges of AI development and deployment through a multi-stakeholder approach. By uniting technology companies, academic institutions, and civil society organizations, PAI seeks to establish common ground and develop responsible frameworks for AI innovation that prioritize societal well-being.
PAI's work spans critical domains including inclusive research design, media integrity, labor economics, fairness, transparency, and safety-critical AI applications. Their approach is unique in creating platforms for dialogue and developing practical guidelines that can be adopted across industries. Key resources include guidance for safe foundation model deployment, responsible synthetic media practices, and strategies for ensuring AI's economic benefits are equitably distributed, making significant contributions to the evolving AI governance landscape.
Key Points
- Multi-stakeholder approach bringing together tech companies, academia, and civil society
- Develops practical guidelines and frameworks for responsible AI development
- Focuses on ethical considerations across multiple AI application domains
Cited By (23 articles)
- Large Language Models
- Persuasion and Social Manipulation
- AI Risk Portfolio Analysis
- Autonomous Weapons Escalation Model
- Multipolar Trap Dynamics Model
- Power-Seeking Emergence Conditions Model
- Racing Dynamics Impact Model
- Safety Researcher Gap Model
- Warning Signs Model
- Worldview-Intervention Mapping
- Geoffrey Hinton
- Coordination Technologies
- AI Governance and Policy
- Cyber Psychosis
- AI-Enabled Historical Revisionism
- AI Knowledge Monopoly
- Reality Fragmentation
- AI Disinformation
- Concentration of Power
- Erosion of Human Agency
- Lock-in
- AI Proliferation
- Racing Dynamics