Controllability refers to the ability to understand, regulate, and manage an AI system's decision-making process. It ensures the AI behaves accurately, safely, and ethically while minimizing unintended consequences.
Jul 19, 2020 · In this paper, we present arguments as well as supporting evidence from multiple domains indicating that advanced AI can't be fully controlled.
Our AI technologies will be subject to appropriate human direction and control.” [77]. • “…the problem of making powerful artificial intelligence do what we ...
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May 25, 2022 · In this paper, we present arguments as well as supporting evidence from multiple domains indicating that advanced AI cannot be fully controlled.
Jun 6, 2022 · In this paper, we present arguments as well as supporting evidence from multiple domains indicating that advanced AI cannot be fully controlled.
The consequences of uncontrollability of AI are discussed with respect to the future of humanity and research on AI, and AI safety and security.
Consequences of uncontrollability of AI are discussed with respect to future of humanity and research on AI, and AI safety and security.
Jan 30, 2024 · Thus, the core idea behind Controllable AI is the assumption that no AI system should be deemed reliable, and it is essential to establish ...
Jan 10, 2024 · In this paper, we present arguments as well as supporting evidence from multiple domains indicating that advanced AI cannot be fully controlled.
1. The highest principle of AI is safety and controllability. · 5. Security · 5. Security · 1. Principle of collaboration · 3. Principle of controllability · 3.