WELCOME TO THE COURSE! We are very excited to have you!
AI CONTRIBUTORS ----------------------- Content / Creative Generation: (anonymized) in partnership with Creator: B. Floore Audio - Voices - Sites: Murf.ai, Audioread Audio - Voices - Extension: Speechify, Natural Reader, Audioread Audio - Music - Included: Mubert.com Audio Editing: Audacity (not artificial, still intelligent) Image Generation: NKMD Stable Diffusion GUI CHARACTERS* *These are not the speakers, they are extrapolations based on the presentations in the round robin of who each might be. These characters are not endorsed nor written by these individuals, but a private chatbot trained on the material for this course identified these six as the possible guest speakers. The real speakers will remain anonymous throughout. -----------------

• P1 - Professor Olivia Clarke, head of the AI Ethics department at MIT. Precise yet personable, she moderates the panel with measured insightfulness.

• P2 - Paul Devereaux, AI safety engineer at OpenAI focused on safety research. His passion for details ensures multi-faceted considerations.
• P3 - Doctor Amandeep Suri, a researcher at Stanford known for empathizing with all perspectives. Her nuanced contributions respect both logos and ethos.
• P4 - Christopher Johnson, AI assistant developer for Anthropic. Curious to explore missing angles promoting understanding.
• P5 - Michael Sims, CEO of Anthropic whose pragmatic solutions stem from eager studies. Respectful risk-assessment aids responsible progress.
• P6 - Doctor Kavita Singh, director of the AI Initiative at CMU known for her balanced integrations. Collaborative thinking helps shared challenges.

MODULE DESCRIPTION Science fiction has long explored both utopian and dystopian visions of advanced technology influencing humanity. As AI systems integrate further into our lives, nurturing ethically sound development is crucial to avoid potential harms. This module brings together experts from diverse fields to discuss how some of science fiction's iconic AI characters can inform guidelines for cultivating ethical AI. Through a moderated roundtable discussion, participants will examine key figures that have shaped thinking around issues like autonomous decision making, unintended consequences of new technologies, and balancing oversight with enabling long term societal benefits. Characters like Data, HAL 9000 and more will serve as starting points for analyzing real-world techniques being applied to ensure AI systems are robustly aligned with human values and priorities around fairness, safety and transparency.
MODULE PURPOSE The purpose of this module is to gain insight from leaders at the cutting edge of AI safety research and development on how lessons from speculative fiction can inform practical strategies. By exploring prototypical examples of both idealized and problematic AI behaviors depicted in famous sci-fi works, the discussion aims to advance understanding of developing advanced technologies according to principles of responsible innovation. MODULE OBJECTIVES

• Analyze how sci-fi archetypes like Data exemplify an ethical decision making framework transferable to modern AI systems.
• Discuss challenges of implementing concepts like "Asimov's Three Laws" and ensuring AI behaviors neither cause harm through unintended consequences or limiting long term societal benefits.
• Consider approaches drawn from examples like Skynet that seek to balance oversight, tripwires and autonomous decision making to avoid scenarios of uncontrolled or misaligned advanced systems.
• Identify positive themes around cultivating empathy, transparency and responsibility in AI development depicted through characters across sci-fi works.