Experts like Sandra Wachter and Os Keyes emphasize that IQ tests are not suitable for evaluating AI, as they were created to assess human problem-solving abilities. AI approaches problem-solving differently, and its performance on IQ tests highlights the tests' limitations rather than the models' capabilities. The need for better AI evaluation methods is evident, as current benchmarks often inappropriately compare AI to human abilities. Heidy Khlaaf notes that comparing AI to human performance is a recent and contested practice, underscoring the necessity for more appropriate measures of AI progress.
Key takeaways:
- OpenAI CEO Sam Altman suggests AI's "IQ" improves by one standard deviation each year, but experts argue IQ is a poor measure of AI capabilities.
- IQ tests are criticized for being biased and not accurately reflecting practical intelligence or AI's unique problem-solving methods.
- AI models may have an unfair advantage on IQ tests due to their vast memory and access to test patterns from public data.
- Experts call for better AI evaluation methods, as comparing AI to human intelligence is contested and current benchmarks are inadequate.