Explore 9 AI terms in Ethics in AI
AI Alignment is the process of ensuring that artificial intelligence systems act in accordance with human values and intentions.
A global organization dedicated to promoting research, education, and ethical practices in artificial intelligence.
Counterfactual fairness ensures AI decisions are unbiased by considering how outcomes would change under different circumstances.
Explainable AI refers to methods that make AI decisions understandable to humans.
A guarded launch is a controlled release of AI systems to mitigate risks and ensure safety.
The Leo Model is a framework for developing AI systems that prioritize explainability and fairness.
Model interpretability refers to the ability to understand and explain how AI models make decisions.
Prompt injection is a technique where users manipulate AI prompts to influence responses.
Stability AI is a company focused on developing advanced AI models and tools, including generative AI applications.