Strengths:
- Novel Idea: The concept of a real-time AI societal impact tracker is innovative and addresses a critical gap in AI safety and policy.
-Relevance: The paper highlights the importance of tracking AI’s societal impact, particularly in areas like job markets, ethics, and policymaking.
-Groundwork: A strong foundation for future work, including identifying data sources and outlining the need for such a tool.
Areas for Improvement:
-Methodology and Documentation: The paper lacks a methodology section and detailed documentation (due to time constraints), making it difficult to evaluate the technical implementation. Include a clear explanation of how the tracker works and provide access to the codebase.
-Results and Insights: The results section is missing due to time constraints, and the app does not provide enough information to interpret the data. Include a detailed analysis of the findings and their implications.
-Limitations and Risks: The paper does not thoroughly analyze the limitations of the tracker itself or the potential risks of implementing such a tool. Expand on these aspects to strengthen the analysis.
-Scalability and Generalization: Demonstrate how the tracker could be scaled or generalized to broader applications. Include a discussion of future steps and scalability.
Suggestions for Future Work:
-Develop a detailed methodology and document the technical implementation, including access to the codebase.
-Conduct a thorough analysis of the results and their implications for AI safety and policy.
-Explore mitigation strategies for the risks and limitations.
-Investigate the tracker’s performance in diverse contexts and expand the data collection process.