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Pablo Rivas, Ph.D., emphasizes the ethical implications of artificial intelligence as its use grows. He discusses the ethical dilemmas of fairness, accountability, and transparency in AI during an interview on the Baylor Connections podcast. Rivas highlights how Baylor University's mission aligns with addressing these challenges through interdisciplinary research.
Rivas advocates for a moral perspective in AI development, stressing the importance of collaboration across various academic disciplines. He leads initiatives like the Baylor Ethics Initiative, which explores the intersection of Christian beliefs and technology. This approach aims to ensure that AI enhances human dignity rather than diminishes it.
• Baylor emphasizes ethical perspectives in AI development and research.
• Rivas identifies fairness, accountability, and transparency as key ethical dilemmas in AI.
Fairness in AI ensures that systems do not discriminate based on race, gender, or socioeconomic status.
Accountability clarifies who is responsible when AI systems make mistakes, whether developers or users.
Transparency in AI allows users to understand the reasoning behind AI decisions, fostering trust.
Baylor University focuses on ethical AI research and interdisciplinary collaboration to address AI challenges.
Ohio State University collaborates with Baylor to promote ethical solutions in AI development.
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