Measuring What Matters: People & Planet
Summary of the ProSocial AI Index Concept
This text introduces the concept of a ProSocial AI Index, a new evaluation framework for AI systems designed to move beyond simply assessing safety and compliance, and instead actively measure positive impact on both people and the planet. Here’s a breakdown of the key ideas:
Problem: Existing AI evaluation methods are ofen too technical and don’t adequately address the broader societal and environmental consequences of AI.
Solution: A ProSocial AI Index,designed for a wide range of stakeholders (individuals,organizations,nations),built around the 4T’s framework:
Tailored: Cultural responsiveness,accessibility,and community engagement.
Trained: Dataset diversity, bias mitigation, and inclusion of marginalized perspectives.
Tested: Long-term social impact, environmental consequences, and unintended effects.
Targeted: Prosocial objectives, measurable positive outcomes, and adaptive learning.
Key Principles:
Systems Thinking: Recognizes the interconnectedness of planetary and human wellbeing (climate change, inequality, etc.).
Holistic Evaluation: Considers AI’s impact on environmental footprint, social cohesion, human agency, and global resilience.Moves beyond isolated metrics to capture complex outcomes. (e.g., evaluating agricultural AI on soil health and crop yield). Positive Impact Focus: Goes beyond avoiding harm to actively measuring and promoting positive outcomes.
Context & Inspiration:
acknowledges existing initiatives like Switzerland’s AI for Public Good, AI ethics measurement frameworks, and the AI Safety Index.
Positions the ProSocial AI Index as a next step, building on these foundations but aiming for a more comprehensive and proactive approach.
implementation:
designed to be actionable for diverse users, including individuals wiht limited technical expertise.
* Will provide accessible tools for individuals to evaluate the AI systems they use daily.
In essence, the ProSocial AI Index aims to be a tool for building a more responsible and beneficial AI future by focusing on positive contributions and systemic wellbeing, rather than just minimizing risks.