About the Lecture
What happens when algorithms make decisions about people?
From hiring and healthcare to education and finance, algorithms increasingly shape the choices that affect our daily lives. While often viewed as neutral and efficient, these systems can unintentionally reinforce existing social inequities and raise important questions about fairness, accountability, and trust.
In this lecture, we’ll explore how and why people perceive algorithmic decisions as unfair, how those perceptions influence trust in AI, and what this means—especially for communities most affected by automated decision-making. The talk will also highlight practical ways organizations can design, govern, and deploy AI systems more ethically and responsibly.
Meeting ID: 994 9195 8114
Passcode: 222605
What You’ll Learn
Key ideas and real-world implications
- Why “neutral” algorithms can still produce biased outcomes
- How perceptions of fairness shape trust and reliance on AI
- What ethical AI looks like in practice—not just in theory
- How organizations can better align AI systems with equity, inclusion, and social justice goals
About the Speaker
Maryam Ghasemaghaei, PhD
Associate Professor & Area Chair (Information Systems)
Canada Research Chair in Equity, Diversity, and Inclusion in AI
DeGroote School of Business, McMaster University
Dr. Maryam Ghasemaghaei is a leading researcher in the ethical and societal impacts of artificial intelligence. As a Canada Research Chair, her work focuses on equity, diversity, and inclusion in AI, examining how algorithmic systems influence trust, fairness, and decision-making in organizations and society. Her research bridges academic insight and real-world application, offering practical guidance for building AI systems that reflect human values.