Data Justice: Ethical Image Classification in the Age of AI скачать в хорошем качестве

Data Justice: Ethical Image Classification in the Age of AI

Professor Jennifer Stromer-Galley joins us for an 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. Learn more at http://ischool.syr.edu/ --- We work, learn, and live in a digital information age. It drives our economy, our politics, and our education systems. The future will be shaped by those who understand and innovate in this environment. Who advocate for the underserved, design for the end user, and solve for the unsolvable. They’re diverse, imaginative, and driven to make change. They’re iSchoolers. We are the Syracuse University School of Information Studies (iSchool). We offer undergraduate, graduate, and doctoral programs in data science, information technology, information management, library science, and more. View our programs at https://ischool.syr.edu/academics/ Follow the iSchool: Instagram:   / ischoolsu   Twitter:   / ischoolsu   Facebook:   / su.ischool   LinkedIn:   / ischoolsu   WeChat: https://ischool.syr.edu/landing-pages...