Searched over 200M research papers for "trustworthy AI"
10 papers analyzed
These studies suggest that trustworthy AI involves ethical, legal, and technological considerations, focusing on principles like beneficence, non-maleficence, autonomy, justice, and explicability, and addressing dimensions such as safety, nondiscrimination, explainability, privacy, accountability, and environmental well-being.
20 papers analyzed
Trustworthy Artificial Intelligence (AI) is a critical area of research that aims to ensure AI systems are reliable, ethical, and beneficial to society. This involves addressing various ethical, legal, social, and technological challenges to build trust in AI technologies.
Foundational Principles and Dimensions of Trustworthy AI:
Ethical and Legal Frameworks:
Explainability and Transparency:
Standardization and Accountability:
Challenges and Future Directions:
Trustworthy AI is a multifaceted concept that requires adherence to ethical principles, legal standards, and technical robustness. Key aspects include ensuring safety, fairness, explainability, and accountability. Standardization and continuous monitoring are vital for maintaining trust in AI systems. Addressing these challenges holistically will be crucial for the future development and acceptance of AI technologies.
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