Artificial Intelligence (AI) Alignment Field
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A Artificial Intelligence (AI) Alignment Field is a AI subfield that focuses on ensuring AI systems act according to human values and human intentions.
- Context:
- It can (typically) involve Ensuring Safe AI to prevent harmful behaviors.
- It can (often) require Machine Learning Ethics to integrate moral considerations into AI.
- It can range from being a Technical Alignment Problem to being a Philosophical Inquiry.
- It can address Value Alignment to ensure AI goals match human values.
- It can involve Robustness and Reliability to maintain performance under varying conditions.
- It can require Interdisciplinary Collaboration between AI researchers, ethicists, and policymakers.
- ...
- Example(s):
- a Reward Modeling that showcases aligning AI rewards with human preferences.
- a Inverse Reinforcement Learning that demonstrates teaching AI human values by observing behavior.
- ...
- Counter-Example(s):
- Artificial General Intelligences, which may have goals misaligned with human values without proper alignment efforts.
- Narrow AIs, which focus on specific tasks and may not need extensive alignment considerations.
- See: Machine Learning Ethics, Ensuring Safe AI, Value Alignment, Inverse Reinforcement Learning.