Trustworthy Artificial Intelligence

Trustworthy Artificial Intelligence (TAI) focuses on developing AI systems that are reliable, safe, and aligned with human values, addressing concerns about bias, transparency, and security. Current research emphasizes techniques like differential privacy for data protection, explainable AI methods (including logic-based approaches and counterfactual explanations) to enhance understanding, and robust model architectures that mitigate vulnerabilities to adversarial attacks and distribution shifts. The development of TAI is crucial for responsible AI deployment across various sectors, impacting not only the scientific community through improved methodologies but also practical applications by fostering greater user trust and ensuring ethical and equitable outcomes.