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HomeHomework Helpcomputer-scienceTrustworthy AI Systems

Trustworthy AI Systems

The design, development, and implementation of artificial intelligence systems that are safe, effective, and trustworthy, incorporating key requirements such as human-centric approach, explainability, and accountability, to promote sustainability, growth, competitiveness, and inclusion

intermediate
3 hours
Computer Science
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Overview

Trustworthy AI systems are essential for ensuring that artificial intelligence technologies are used ethically and responsibly. By focusing on transparency, fairness, accountability, and safety, these systems can build user trust and promote positive societal impacts. Understanding these principles ...

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Key Terms

Transparency
The clarity and openness of AI systems in their operations.

Example: A transparent AI system allows users to see how decisions are made.

Fairness
The quality of being free from bias or injustice in AI outcomes.

Example: Fair AI ensures equal treatment for all users.

Accountability
The obligation of AI developers to take responsibility for their systems' actions.

Example: Developers must be accountable for biased outcomes from their AI.

Bias
A systematic error in AI that leads to unfair outcomes.

Example: An AI trained on biased data may discriminate against certain groups.

Ethics
Moral principles that govern behavior, especially in technology.

Example: AI ethics focuses on the moral implications of AI technologies.

Safety
The condition of being protected from potential harm in AI systems.

Example: Safety protocols are essential for autonomous vehicles.

Related Topics

Ethical AI Development
Focuses on creating AI systems that adhere to ethical standards.
intermediate
AI and Data Privacy
Explores the intersection of AI technologies and personal data protection.
intermediate
AI Regulation and Policy
Examines the laws and policies governing AI use and development.
advanced

Key Concepts

TransparencyFairnessAccountabilitySafety