❓ What are the risks from AI?
This week we summarize the seventh risk framework included in the AI Risk Repository: Kilian, K. A., Ventura, C. J., & Bailey, M. M. (2023). Examining the differential risk from high-level artificial intelligence and the question of control. Futures, 151(103182), 103182. https://doi.org/10.1016/j.futures.2023.103182
This study investigates the risks and uncertainties that could arise from advanced AI development (including artificial general intelligence). It also models how variations in social and technological change can impact outcomes.
The research presents a spectrum of risk from advanced AI systems, divided into four classes:
1️⃣ Misuse Risks
2️⃣ Accident Risks
3️⃣ Structural Risks
4️⃣ Agential Risks
⭐️ Key features of the framework and associated paper:
Presents a hierarchical complex systems framework to model AI risk
Classifies AI impact and likelihood using original survey data from domain experts in the public and private sectors
Determines that the highest impact risks include monopolistic race dynamics, AI alignment failures, and power-seeking behavior
Presents a novel exploratory modeling technique to characterize future scenarios and the associated risks
📄 Disclaimer: This summary highlights a paper included in the MIT AI Risk Repository. We did not author the paper and all credit goes to Kyle A. Kilian, Christopher J. Ventura and Mark M. Bailey.
For full details, please refer to the original publication: https://doi.org/10.48550/arXiv.2211.03157.
🔔 Further engagement
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