ai-ethics-podcast

When Are “Fair” Algorithms Better Than Accurate Ones? with Osonde Osoba

Artificial Intelligence continues to penetrate our lives. As it does so, we should be wary of its ethical and social implications.

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Osonde Osoba, an engineer at the RAND Corporation and a professor at the Pardee RAND Graduate School, joins Sheana Ahlqvist in today’s episode of Innovation For All Podcast to talk about fairness in Artificial Intelligence and Machine Learning. AI has the ability to seriously impact our lives, which is why Osonde is pushing for systems that are accurate, unbiased, and flexible.

Discover what areas we should be wary when handing over the decision-making to AI’s, why this isn’t just a technical issue, but also political, and who should we put in charge of these systems. Learn also the importance of accountability, ethics, privacy, and regulation in AI systems.

IN THIS EPISODE YOU’LL LEARN:

  • The difference between Machine Learning and Artificial Intelligence
  • Should AI systems intentionally be made to ‘align with our comfort’?
  • What roles do the legislators, policy makers, etc. do?
  • Strategies to protect Data Privacy in AI and ML models
  • Regulatory rules between the developers and the users
  • If technology changes so rapidly, how can regulators keep up?
  • How can we build accountability into AI & ML?

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The 80/20 rule hurts everything from education to self-driving cars featuring Dr. Jutta Treviranus

In this episode of Innovation for All, host Sheana Ahlqvist talks to Dr. Jutta Treviranus, Director of the Inclusive Design Research Centre at OCAD University in Toronto. Dr. Treviranus explains how traditional approaches to business, design practices, and research can results in suboptimal or unfair systems. They discuss what inclusive design is, why it is so important, and how we can design systems that accommodate everyone.

Dr. Treviranus also reimagines the future of education. They cover her efforts to incorporate inclusivity into the current change-resistant educational system, her “Unlearning and Questioning” course, and her most recent project: developing a lab school for inclusive life-long learning.

YOU’LL LEARN:

• How to use AR to combine real data with simulated data to create and experience new, imagined futures
• What is the Pareto Principle (80/20 Principle)?
• What are the real world consequences of ignoring the “20%”?
• What is the Cobra Effect?

Find Jutta on Twitter as @juttatervira