Executive summary: AI development involves risks at three key stages: training (misalignment), deployment (misuse), and diffusion (systemic issues). Competitive pressures exacerbate risks across all stages.
Key points:
Training risks involve AI goals misaligning from human values, causing issues when systems are deployed.
Deployment risks involve humans intentionally misusing powerful AI systems for harm.
Diffusion risks involve AI diffusing through the economy and causing unintentional systemic issues like loss of human control.
Competitive pressures make actors more likely to cut corners on safety at each stage.
Risks across stages could manifest simultaneously in complex ways.
Understanding this framework helps integrate different AI risk proposals into a cohesive whole.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, andcontact us if you have feedback.
Executive summary: AI development involves risks at three key stages: training (misalignment), deployment (misuse), and diffusion (systemic issues). Competitive pressures exacerbate risks across all stages.
Key points:
Training risks involve AI goals misaligning from human values, causing issues when systems are deployed.
Deployment risks involve humans intentionally misusing powerful AI systems for harm.
Diffusion risks involve AI diffusing through the economy and causing unintentional systemic issues like loss of human control.
Competitive pressures make actors more likely to cut corners on safety at each stage.
Risks across stages could manifest simultaneously in complex ways.
Understanding this framework helps integrate different AI risk proposals into a cohesive whole.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, and contact us if you have feedback.