Unconventional Concerns for Human-Centered Artificial Intelligence

Ria Cheruvu

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Ethics and Social Impacts of AI Artificial Intelligence Applications Explainable Artificial Intelligence (XAI)

Abstract

New concerns are emerging around increased artificial intelligence (AI) complexity, autonomy, and its ability to exploit human users and itself. We outline predictions on human-centered AI system and design, analyzing how the complexity of AI algorithms will influence vulnerabilities to drastically impact technical, regulatory, and societal landscapes.

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References

2021A Survey on Bias and Fairness in Machine Learning 2019Model Cards for Model Reporting 2020Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy 2020Zero Trust Architecture 2020Artificial Intelligence, Values, and Alignment 2020A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence 2019Human‐centered artificial intelligence and machine learning 2015Escaping from Children's Abuse of Social Robots

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