Data Justice: Navigating Ethical Image Classification in the Age of AI – Virtual Sample Class

Embark on a transformative journey in our immersive course, where you’ll become a guardian of ethical image classification in the dynamic realm of AI. In a world increasingly shaped by data-driven technologies, the significance of ethical practices cannot be overstated.

Drawing inspiration from real-world events, including innocent people being wrongly arrested after being identified by AI, as happened recently in Detroit, , we’ll unravel the profound impact of image recognition software on our lives. Guided by Prof. Stromer-Galley, an expert in data science and ethical data practices, you’ll delve into the historical evolution of image recognition systems, understanding the intricate threads that have woven this technology into our daily information seeking.

But our exploration doesn’t stop there. We’ll critically examine the ethical challenges posed by original training datasets, dissecting how biases inadvertently shape the outcomes of image recognition processes. Through this engaging lecture, you’ll gain insight into why certain biases persist, even in today’s advanced AI landscape.

Empowered with this knowledge, you’ll develop the skills to navigate the ethical complexities of image classification. By the end of this journey, you’ll possess a deeper understanding of the vital role ethical practices play in crafting a more just and equitable future. Join us live with this sample class from the iSchool in navigating the intricate path of ethical image classification in the age of AI.

Let’s forge a more inclusive digital tomorrow together.