Center for Assurance Research and Engineering

Artificial Intelligence

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Technology experts recognize that Artificial Intelligence presents a complex array of ethical and policy challenges that professionals in all fields need to consider. One primary concern is the potential for bias in AI systems. Because these systems learn from data, any historical biases in that data—whether related to race, gender, or socioeconomic status—can be perpetuated or even amplified, affecting decisions in areas like hiring, law enforcement, or healthcare. Another issue is privacy, especially as AI systems often rely on vast amounts of personal data. The risk here is not only data breaches but also the possibility of invasive surveillance or misuse by bad actors. Furthermore, AI’s increasing capability to automate tasks raises questions about job displacement and economic inequality, as certain roles may become obsolete, while others require entirely new skill sets. From a policy perspective, clear regulations need to ensure AI is developed and deployed responsibly—protecting individuals' rights, preventing harm, and maintaining fairness. Policies must also be flexible enough to keep pace with the fast-evolving nature of the technology. Addressing these issues will require collaboration across industries and careful thought about how AI can serve the common good without exacerbating existing societal problems.