This research area examines how individuals perceive fairness in algorithmic decision-making and how these perceptions affect the acceptance and adoption of AI systems. We investigate various fairness ...

Part 2, Digital Inequality Series: Under what conditions can artificial intelligence benefit all of society vs. just a few people? Kalinda Ukanwa, a quantitative marketing scholar at the University of ...

Get the latest federal technology news delivered to your inbox. With this transformative power, however, comes a significant responsibility: the need to ensure that these technologies are developed ...

As price-setting by computer algorithm becomes increasingly prevalent, states are stepping in to address transparency and fairness concerns that federal legislation has yet to comprehensively tackle.

And this wasn’t an isolated incident. Stories abound of stereotypes in large language models (LLMs) in education, technology and other fields. LLMs pose significant hurdles to algorithmic fairness, ...

With the ever-growing presence of artificial intelligence (AI), algorithms are the invisible hands shaping decisions about housing, loans, healthcare, employment, and even criminal justice. As AI ...

As artificial intelligence (AI) increasingly integrates into decision-making across industries, concerns about trust, fairness, transparency, and ethical considerations continue to shape user adoption ...