AI Ethics and Equity
Session materials for sessions on: AI and Society: Investigating bias, privacy concerns, and the broader social impacts of AI systems. AI in Education: Practical applications and challenges in integrating AI tools into K-14 classrooms, and how AI is shaping the future of learning. Sustainability and AI: Examining the environmental footprint of AI technologies and exploring opportunities for sustainable tech practices. AI in Healthcare: Innovations in AI that are transforming healthcare, improving patient outcomes, and shaping the future of healthcare systems. AI in the Arts and Journalism: How AI is influencing creative industries and media, with a focus on creative process, authenticity, and innovation. Business Integration: A deeper look at the ways AI drives business practices at the local and global levels, and how AI impacts global economies.
The Manifesto for Teaching & Learning in a Time of Generative AI: A Critical Collective Stance to Navigate the Future
Generative AI is reshaping higher education, offering tools to personalize learning, boost efficiency, and expand accessibility. But beneath the surface, it raises profound questions: ▪How do we maintain human oversight in algorithm-driven systems? ▪Are we safeguarding equity and amplifying diverse voices—or reinforcing biases? ▪How can we ensure that GenAI enhances, rather than erodes, creativity, critical thinking, and empathy in education?
This manifesto calls for thoughtful, evidence-based action to ensure GenAI empowers, rather than diminishes, our collective agency in education. Let's reimagine the future of learning—ethically and inclusively.
Summary: In the Teaching in Higher Ed podcast episode titled "Cultivating Critical AI Literacies," Maha Bali, a Professor of Practice at the American University in Cairo, discusses the importance of developing critical AI literacies in education. She emphasizes aligning AI usage with teaching philosophies and values to enhance learning while staying true to educational principles. Bali highlights concerns about AI's impact on data sovereignty, particularly regarding religious and indigenous information, and stresses the need to address systemic biases replicated in AI systems. She advocates for tracing the sources of AI-generated information to ensure accuracy and reliability. The conversation underscores the necessity of integrating critical AI literacy into educational frameworks to prepare students for ethical and informed engagement with AI technologies. - chatGPT