Cognitive Foundations of Agentic AI by Anand Vemula

Author:Anand Vemula
Language: eng
Format: epub

Technical Solutions for Ethical AI:

Fairness-Aware Machine Learning: Algorithms designed to mitigate bias in data and models.

Explainable AI (XAI) Techniques: Methods to make AI decisions more transparent and interpretable.

Robustness and Safety Engineering: Techniques to ensure AI systems are resilient to adversarial attacks, unexpected inputs, and operate within safe boundaries.

Value Alignment: Research into how to align AI objectives with complex human values, often through inverse reinforcement learning or preference learning.

Ethical AI Toolkits: Software tools that help developers identify and mitigate ethical risks in their AI systems.

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