Stanford Root

Schedule

Stanford Root

Schedule

CS 33

AI Changes Everything: Intentions & Consequences

UNITS:1
GRADING:Letter or Credit/No Credit
LEVEL:Undergrad
GER:—

As AI technology advances relentlessly, the most important questions remain unresolved. As students expecting to build, deploy, regulate, or apply AI technology, we are the ones responsible for shaping society and the coexistence of humans and AI. While technological progress rushes us toward superintelligent and autonomous systems, we grapple with the societal question of what kind of future we wish to create. Will AI expand human potential or erode essential human capabilities? Will it democratize opportunity or concentrate power? What responsibilities accompany the ability to build increasingly capable systems? This discussion-based seminar examines AI not as a technology with predetermined outcomes, but as an evolving system whose consequences will be shaped by human choice. Through readings, debate, reflection, and conversations with practitioners and researchers, students examine questions surrounding learning, work, creativity, inequality, autonomy, relationships, governance, and machine consciousness.

Syllabus for selected term:
View Winter 2027 Syllabus

Sections

1 Term
Seminar 1Open
ID: 28662
0 / 24 enrolled
DAYS:Tuesday
TIME:4:30 PM – 5:50 PM
LOCATION:TBD
1unit

CS 33: AI Changes Everything: Intentions & Consequences

1 units · Letter or Credit/No Credit

As AI technology advances relentlessly, the most important questions remain unresolved. As students expecting to build, deploy, regulate, or apply AI technology, we are the ones responsible for shaping society and the coexistence of humans and AI. While technological progress rushes us toward superintelligent and autonomous systems, we grapple with the societal question of what kind of future we wish to create. Will AI expand human potential or erode essential human capabilities? Will it democratize opportunity or concentrate power? What responsibilities accompany the ability to build increasingly capable systems? This discussion-based seminar examines AI not as a technology with predetermined outcomes, but as an evolving system whose consequences will be shaped by human choice. Through readings, debate, reflection, and conversations with practitioners and researchers, students examine questions surrounding learning, work, creativity, inequality, autonomy, relationships, governance, and machine consciousness.

Offered in Winter 2027 at Stanford University.

Winter 2027 sections

  • Seminar — Tuesday 4:30 PM – 5:50 PM (Undergrad)

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