Artificial Intelligence

Artificial Intelligence, broadly known as AI, has rapidly gained momentum impacting our daily lives in ways that we are only beginning to comprehend. We will explore the rise of AI technologies, from machine learning to deep learning, and grapple with the ethical dilemmas that emerge when machines make decisions that impact our lives. From predictions to what we consume on social media, to help desks run entirely through AI, to creating written content with chatGPT; as quickly as a new AI innovation arises, so do the ethical considerations of its impact. You'll be introduced to some of the most prominent areas where AI is currently being used, ranging from public policy predictions and solutions to social and emotional impact on people of all ages. We'll examine case studies in some of the most pressing ethical concerns and ngage in Socratic discussions to weigh the possible current and future implications of this powerful technology. You’ll gain insights into fairness, transparency, bias mitigation, and responsible principles. Consider increasingly complex philosophical debates through the lens of AI and assess how we can harness this technology in socially responsible ways, to be more our friend than our foe.

Learning Outcomes

• Analyze the fundamental technologies driving artificial intelligence, including machine learning and deep learning, while critically examining their current applications across various domains of human experience.
• Evaluate the ethical implications of AI technologies, identifying potential societal impacts, challenges, and the complex philosophical questions raised by intelligent systems' decision-making capabilities.
• Critically assess the principles of fairness, transparency, and bias mitigation in AI development, demonstrating an understanding of responsible technological innovation.
• Engage in nuanced discussions about the social and emotional consequences of AI integration across different sectors, including public policy, media, communication, and personal interactions.
• Develop a comprehensive framework for understanding AI as a transformative technology, balancing technological potential with ethical considerations and human-centric design principles.

 Information is subject to change as instructors finalize course content and syllabi.