Trustworthy AI
Trustworthy AI is a framework and set of principles for developing artificial intelligence systems that are ethical, reliable, safe, and transparent. It encompasses aspects like fairness, accountability, privacy, robustness, and explainability to ensure AI technologies benefit society while minimizing harm. This concept has gained prominence as AI systems become more integrated into critical domains like healthcare, finance, and autonomous vehicles.
Developers should learn about Trustworthy AI when building or deploying AI systems in high-stakes or regulated environments, such as healthcare diagnostics, financial lending, or public safety applications, to mitigate risks like bias, discrimination, or unintended consequences. It is crucial for compliance with emerging regulations like the EU AI Act and for building user trust, which can enhance adoption and reduce legal liabilities. Understanding these principles helps in designing systems that are not only technically sound but also socially responsible.