Advancing Responsible and Trustworthy AI Using Human-Centered Methods
Data-driven systems that use machine learning are now embedded in high-stakes domains including healthcare, hiring, and the criminal justice system, yet they routinely exhibit biases that cause real harm, generate stigmatizing language about marginalized groups, and encode discrimination into consequential decisions. A...