Watch this in-depth discussion (recorded on April 17th, 2024) on the intersection of ethics and AI, covering some of the most important issues surrounding the implications AI has for individuals and society:
1.) The broad impact of AI on the world economy and workforce
2.) How bias can lead to unfair or discriminatory outcomes
3.) Privacy and security concerns born out of the massive data demands of AI
4.) Lack of transparency around how AI systems reach decisions and make predictions
Alongside all the promise and potential that AI offers, there’s also significant risk. AI can perpetuate bias, discrimination, and inequality, exacerbating existing societal problems. That’s why it’s essential to ensure ethical AI development and deployment to foster trust, safeguard human rights, and promote equitable outcomes in an increasingly AI-driven world. Join us for an important conversation on this critical topic, as AI practitioners, policymakers, and executives explore the nuances of the ethical landscape of artificial intelligence.
Panelists:
Stacey Ann Berry is an author, entrepreneur, and public policy professional. She provides thought leadership on the impact of technology on marginalized communities and human rights, and civil liberties. She has a master’s in public policy administration and law as well as, an Honours BA from York University. She also has a diploma in Court and Tribunal Administration from Seneca College.
Take Stacey's Udacity course, AI Governance & The Public Good, here: [ Ссылка ]
Ria is an AI Software Architect and technical lead. She has a master's in data science from Harvard University, and is an accomplished industry speaker and instructor. She formerly served as Intel NEX’s AI Ethics Lead Architect, leading trustworthy AI product creation, and as a Teaching Fellow for Harvard Data Science. Ria has multiple patents and publications on AI and ethics, and enjoys contributing to open-source communities to advance innovation.
Take Ria's Udacity course, Discovering Ethical AI, here: [ Ссылка ]
Ed Wiley is a high-visibility senior executive with 25 years of building, leading, and advising world-class machine learning, AI, and data science teams & projects at companies at stages from startup to Fortune 50. An active member of the AI & data science communities, Ed regularly presents at national and international conferences and workshops.
Take Ed's Udacity course, Generative AI For Business Leaders, here: [ Ссылка ]
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Webinar Chapters:
Welcome to Let's Talk Ethics In AI - 00:00
Panelist Introductions - 01:23
When Did You Become Interested in AI? - 04:33
How Do You Define Ethical AI? - 11:26
How Do We Scale Ethical AI In Development? - 19:31
What Are Some of The Success Metrics of Ethical AI? - 25:13
How Do We Enforce Ethical AI In Public Policy? 27:41
What Challenges Have You Personally Faced In Terms of Ethical AI? - 30:35
How Can You Inspect IP Lineage of Various Models & Algorithms? 38:50
What Role Does AI Regulation Play In Ethical AI? - 41:10
What Are Some Common Ethical AI Pitfalls? - 44:08
What Are Some Ethical AI Job Opportunities? - 49:25
Is There A Difference Between AI Ethics & Responsible AI? - 54:05
How Can We Make Sure AI Doesn't Perpetuate Existing Biases? - 56:10
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