The Z-Inspection: a method to evaluate an AI's trustworthiness
Briefly

What does trustworthy AI mean? Policymakers and AI developers worldwide have poured millions into addressing this question. The driving force behind this effort is the belief that societies can only realize AI's full potential if trust is built into its development, deployment, and usage.
Achieving AI's full potential relies on trustworthiness, necessitating a focus on transparency, fairness, and security. By embracing this comprehensive approach, we pave the way for AI systems that inspire confidence and drive responsible innovations.
Many current AI systems are found vulnerable to imperceptible attacks, biased against underrepresented groups, lacking in user privacy protection. Such breaches can range from biased treatment by automated systems in hiring and loan decisions to the loss of human life.
Read at uxdesign.cc
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