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Evolving Morality: From Primordial Soup to Superintelligent Machines
GENED 1046

Course Information

Description

How can we understand the evolution of morality—from primordial soup to superintelligent machines—and how might the science of morality equip us to meet our most pressing moral challenges?

In this course we’ll examine the evolution of morality on Earth, from its origins in the biology of unthinking organisms, through the psychology of intelligent primates, and into a future inhabited by machines that may be more intelligent and better organized than humans. First, we ask: What is morality? Many people believe that morality descends from above, as divine commands or as abstract, timeless principles akin to mathematical truths. Here we take an empirical approach to morality, viewing it as a natural phenomenon that rises up from below—born of the strategic interactions among lifeforms and societies struggling to exist. Next, we take a scientifically informed look at the foundational questions of moral and political philosophy. Many people believe that the “is” of scientific knowledge has nothing to do with the fundamental “oughts” of morality, that science and morality exist in separate realms (and belong in separate courses). Here we challenge this assumption, asking whether our scientific self-knowledge can, and should, change our views about what’s right and wrong and how a society should be organized. Finally, we consider the distinctive moral challenges posed by what may be the next stage in Earth’s evolutionary history: the rise of artificial intelligence. Many people believe that there is and always will be a fundamental division between human minds and machines. Here we challenge this assumption, going beyond the tropes of science fiction and drawing instead on the latest advances in cognitive neuroscience and neurally inspired artificial intelligence. Our conclusions will have implications for moral challenges of the near and more distant future: Can self-driving cars, military drones, and life-like robots be programmed to behave morally? Will artificial intelligence displace human labor? If so, how can our societies adapt? Could machines displace humans entirely? If so, how can we stay in control? If machines do take over, will they be our conquerors or our children? Across diverse topics, this course explores the implications of a single idea: that the wonder we see around us, and ahead of us, is the product of competition and cooperation at increasing levels of complexity.

Course Notes

Not open to students who have taken PSY 2250. Prior to Spring 2019, this course was offered as PSY 1002.

Class Notes

Sectioning for this course will take place during Add/Drop. Once you have enrolled in the course and the placeholder (“DIS”) section, please rank your section preferences by 11:59 p.m. on Friday, November 20. To do this, click on the cog icon next to the Gen Ed course in your Crimson Cart. You will then be prompted to rank the section times. Once we have your ranking, we will do our best to find you a seat in your highest-ranked available section. 

Instructions on how to rank sections can be found here: https://harvard.service-now.com/ithelp?id=kb_article&sys_id=3f5cdb41dbfd4bc4a752f1a51d9619a1

If none of the times work for you, you are welcome to not set any preferences and remain in the placeholder for the time being. However, please note that if enrollment does not significantly change during Add/Drop, no additional sections will be added and you will ultimately need to enroll in an available section or drop the course.

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Course Component Lecture
Grading Basis FAS Letter Graded
Course Requirements Anti-requisite: Cannot be taken for credit if PSY 1002 already completed. Course open to Undergraduates only.
General Education Ethics and Civics
Science and Technology in Society
Quantitative Reasoning with Data N/A
Divisional Distribution None
Course Level Primarily for Undergraduate Students