EPISODE · May 30, 2026 · 9 MIN
Episode 65: AI Bias & Anti-Discrimination Laws: Can Algorithms Be Fair?
from AI-Ignited · host Elif Başer
Today on AI Ignited, host Elif Baser welcomes guest Cafer Demir Özalp to discuss one of the most urgent ethical challenges in artificial intelligence: algorithmic bias and discrimination. From AI hiring systems and facial recognition to predictive policing and healthcare algorithms, they explore how AI can unintentionally reinforce inequalities tied to race, gender, disability, age, and socioeconomic status. The episode also examines anti-discrimination laws, EEOC guidance on AI hiring tools, civil rights protections, and growing concerns among researchers and policymakers about fairness, accountability, and transparency in automated systems.
What this episode covers
Today on AI Ignited, host Elif Baser welcomes guest Cafer Demir Özalp to discuss one of the most urgent ethical challenges in artificial intelligence: algorithmic bias and discrimination. From AI hiring systems and facial recognition to predictive policing and healthcare algorithms, they explore how AI can unintentionally reinforce inequalities tied to race, gender, disability, age, and socioeconomic status. The episode also examines anti-discrimination laws, EEOC guidance on AI hiring tools, civil rights protections, and growing concerns among researchers and policymakers about fairness, accountability, and transparency in automated systems.
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Episode 65: AI Bias & Anti-Discrimination Laws: Can Algorithms Be Fair?
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