Navigating the Ethical Landscape of AI: Algorithmic Bias and Justice
As generative AI (GenAI) rapidly reshapes our world, it’s crucial to examine the ethical implications of these powerful tools.
This panel is designed for faculty members across various disciplines who are interested in understanding the ethical implications of AI. No prior expertise in AI or computer science is required. Join us for a thought-provoking discussion on the future of AI and the urgent need for algorithmic justice. This panel will delve into the complex issue of algorithmic bias, exploring how biases can be inadvertently embedded in AI systems, and how they can perpetuate societal inequalities. We will discuss the concept of algorithmic justice, which seeks to mitigate these biases and ensure that AI technologies are used equitably.
Learning Objectives:
Learning Objectives:
- Understand and describe algorithms, algorithmic justice, and algorithmic bias and the disproportionate impact algorithms can have on marginalized groups
- Apply concepts of algorithmic justice to teaching practice or student services
Related Tenure Criteria:
- I. C. Challenge learners intellectually
- I. E. Demonstrate personal and professional integrity
- II. A. Participate in faculty development opportunities
- IV. A. Serve students
Facilitators:
Modality:
Hybrid. Mt. Skokomish (8-207) and on Zoom. (Highline login required)
About the LTC Winter Workshop Series:
Winter Workshops take place every other Wednesday from 2:30 to 4:00 p.m. during Winter Quarter. Click here to view other workshops in the series.