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Decisionmaking by AI should be transparent from "summary" of Human Compatible by Stuart Russell
The idea that decisionmaking by AI should be transparent is crucial for ensuring that AI systems operate in a way that aligns with human values and goals. When AI systems make decisions that impact human lives, it is essential that we can understand how and why these decisions are being made. Transparency allows us to hold AI systems accountable for their actions and intervene if necessary. Transparency in AI decisionmaking means that the process by which an AI system arrives at a decision should be understandable to humans. This requires that AI systems provide explanations for their decisions that are comprehensible to non-experts. If we cannot understand why an AI system made a particular decision, we cannot trust that decision or have confidence in the system as a whole. Furthermore, transparency is essential for ensuring that AI systems are aligned with human values. If we cannot see how an AI system's decisions are related to our values and preferences, we cannot be sure that the system is acting in our best interests. By making AI decisionmaking transparent, we can ensure that AI systems are designed and implemented in a way that respects and promotes human values. Transparency also allows us to detect and correct errors in AI decisionmaking. If we can see how an AI system arrived at a particular decision, we can identify any mistakes or biases in the process. This enables us to improve the performance of AI systems over time and ensure that they make decisions that are fair, accurate, and reliable.- Transparency in AI decisionmaking is essential for ensuring that AI systems operate in a way that is aligned with human values, accountable to human oversight, and free from errors and biases. By making AI decisionmaking transparent, we can build trust in AI systems and ensure that they serve the best interests of humanity.
