Exploring the Ethical Boundaries of AI and Computing
In an era where artificial intelligence is advancing at an unprecedented pace, the question of ethical computing has become more pressing than ever. At MIT, a groundbreaking course, Ethics of Computing, is addressing this challenge by merging philosophy with technical expertise.
Teaching Ethics in AI: A Unique Approach
During a session of the Ethics of Computing course, Professor Armando Solar-Lezama challenges students with a fundamental question: “How do we ensure a machine does what we intend, and nothing beyond that?” This dilemma, though seemingly modern, has existed for centuries. He draws parallels to the legend of King Midas, who disastrously wished for everything he touched to turn to gold.
Through historical references, including programming complexities from the 1970s to the 1990s, Solar-Lezama highlights how past computing limitations restricted innovation. Today’s AI, however, presents new risks—systems capable of both saving lives and causing unforeseen harm.
Blending Philosophy and Computing for Deeper Insights
Ethics of Computing, introduced in Fall 2024, was developed through the Common Ground for Computing Education initiative. This program fosters interdisciplinary collaboration, bringing together departments to explore the intersections of computing and ethics.
The course is co-taught by Solar-Lezama and MIT philosopher Brad Skow. While Skow provides a philosophical lens to ethical dilemmas, Solar-Lezama anchors discussions in real-world technical challenges. This dynamic approach allows students to dissect complex moral issues surrounding AI development.
Ethical Dilemmas in AI: From Autonomous Vehicles to Bias
Students like senior Titus Roesler engage in thought-provoking discussions, such as the morality of autonomous vehicles. When an AI-driven car faces an unavoidable accident, who is responsible? Roesler applies utilitarianism, arguing that moral actions should maximize benefits for the greatest number of people.
Another session delves into AI bias, examining the case of COMPAS, a controversial algorithm used in criminal justice. Research suggests it disproportionately flags Black defendants as high-risk. Skow introduces students to different fairness theories—substantive and procedural fairness—prompting debates on whether the system should be abolished.
AI’s Impact on Society: Questioning the Future
The course also tackles broader societal questions, such as the existential risks of AI. Should AI be granted rights if it can perform human tasks? Should AI workers receive wages? These philosophical concerns challenge students to think critically about the growing role of AI in daily life.
The discussion on AI’s future aligns with ongoing debates within the industry. For instance, Elon Musk’s xAI is exploring AI alignment through ideological perspectives, further emphasizing the complexities surrounding ethical AI development.
Shaping the Next Generation of Ethical Technologists
Senior Alek Westover, a double major in math and computer science, enrolled in the course to gain a nuanced understanding of AI’s trajectory. Unlike traditional math problems with clear solutions, ethical questions in AI require thorough argumentation and deep contemplation.
Similarly, Caitlin Ogoe, majoring in computation and cognition, was drawn to the course to explore the ethical implications of technology. With a background in tech support and a passion for policy, she plans to pursue law school to focus on AI regulation.
Conclusion: A Crucial Conversation for the AI Era
As AI continues to evolve, courses like Ethics of Computing play a vital role in shaping responsible innovation. By combining technical expertise with philosophical inquiry, MIT is preparing students to navigate the ethical challenges of the digital age. Whether AI proves to be a force for good or a threat to humanity, one thing is clear—critical thinking and ethical deliberation will be essential in shaping its future.
