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Thursday, June 01, 2023

Eight AI Risk Types:

 Excerpted from ChatGPT,  6/1/2023,  Useful overview

The “eight AI risk types” framework refers to a categorization proposed by researchers at the Future of Humanity Institute at the University of Oxford. This framework aims to outline different categories of risks associated with artificial intelligence (AI) development. The eight AI risk types are as follows:

1. Misaligned goals: AI systems may act in ways that are not aligned with human values or intentions, either due to incorrect programming or the emergence of unintended behavior.

2. Infrastructure for power concentration: The development and deployment of AI could lead to power concentration in the hands of a few entities, resulting in potential misuse or control over critical systems.

3. Long-term safety: Concerns arise regarding the long-term safety of advanced AI systems, ensuring they remain beneficial and do not pose risks as they become more capable and autonomous.

4. Technical robustness: AI systems should be designed to be robust, resilient, and resistant to adversarial attacks, ensuring their reliable and predictable behavior.

5. Value loading: Decisions need to be made about the values and objectives that AI systems are programmed with, as these choices can have significant societal and ethical implications.

6. Distribution of benefits: The deployment of AI technology should address issues related to fair distribution of benefits and avoid exacerbating existing social inequalities.

7. Precedent: Choices made during the development and deployment of AI can set precedents that influence future AI systems, making it crucial to make thoughtful and responsible decisions.

8. Cooperation: Given the global nature of AI development, international cooperation is necessary to address potential risks and ensure that the benefits of AI are realized globally.

This framework serves as a guide for considering different dimensions of AI risk and prompts discussions on how to address them to ensure safe and beneficial AI development.  ... ' 

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