This framework would distinguish between AI with extremely low risk, AI with no special measures needed, AI with extremely high risks, and AI that should not be allowed. Challenge 4, Design: Human-centered design principles for AI systems should use a framework that can inform practitioners.Challenge 3, Privacy: The collection, use and dissemination of data in AI systems should be carefully considered to ensure protection of individuals' privacy and prevent the harmful use against individuals or groups.This ensures that the potential benefits of AI are leveraged in a manner that aligns with human values and priorities, while also mitigating the risk of unintended consequences or ethical breaches. Challenge 2, Responsible: Responsible AI refers to the concept of prioritizing human and societal well-being across the AI lifecycle.It should also be considerate to support the user's well-being when interacting with AI. Challenge 1, Human Well-Being: AI should be able to discover the implementation opportunities for it to benefit humans' well-being.The six challenges Garibay and the team of researchers identified are:

She says that the technology has become more prominent in many aspects of our lives, but it also has brought about many challenges that must be studied.įor instance, the coming widespread integration of artificial intelligence could significantly impact human life in ways that are not yet fully understood, says Garibay, who works on AI applications in material and drug design and discovery, and how AI impacts social systems. Ozlem Garibay '01MS '08PhD, an assistant professor in UCF's Department of Industrial Engineering and Management Systems, was the lead researcher for the study. The study, 'Six Human-Centered Artificial Intelligence Grand Challenges,' was published in the International Journal of Human-Computer Interaction.

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