Stanford Root

Schedule

Stanford Root

Schedule

SYMSYS 195Q

What does AI get right and wrong about language?

UNITS:3
GRADING:Letter or Credit/No Credit
LEVEL:Undergrad
GER:—

Do you really trust AI to understand your words and intentions? In this course, we will challenge the hype surrounding AI language processing and dive into what it truly gets right and wrong about language. You will learn not only about the staggering achievements of AI language models, but also about the limitations and biases that threaten their reliability. Through hands-on exercises and real-world case studies, you will explore how AI can struggle with understanding complex sentence structures, cultural nuances, and even basic language usage. You will also examine the ethical implications of relying on AI for language processing, including the potential for perpetuating existing biases and discrimination in society. This course will equip you with the critical thinking skills needed to navigate the complex and rapidly evolving world of AI language technology. Prior experience with linguistics and/or artificial intelligence is encouraged but not required.

Syllabus for selected term:
View Spring 2027 Syllabus

Sections

1 Term
Seminar 1Open
ID: 26387
0 / 999 enrolled
DAYS:TBD
TIME:TBD
LOCATION:TBD
3units

SYMSYS 195Q: What does AI get right and wrong about language?

3 units · Letter or Credit/No Credit

Do you really trust AI to understand your words and intentions? In this course, we will challenge the hype surrounding AI language processing and dive into what it truly gets right and wrong about language. You will learn not only about the staggering achievements of AI language models, but also about the limitations and biases that threaten their reliability. Through hands-on exercises and real-world case studies, you will explore how AI can struggle with understanding complex sentence structures, cultural nuances, and even basic language usage. You will also examine the ethical implications of relying on AI for language processing, including the potential for perpetuating existing biases and discrimination in society. This course will equip you with the critical thinking skills needed to navigate the complex and rapidly evolving world of AI language technology. Prior experience with linguistics and/or artificial intelligence is encouraged but not required.

Offered in Spring 2027 at Stanford University.

Spring 2027 sections

  • Seminar — TBA TBA (Undergrad)

More SYMSYS courses

  • SYMSYS 195E: Experimental Methods (PSYCH 251)
  • SYMSYS 195G: Design for Play (CS 247G)
  • SYMSYS 195I: Image Systems Engineering (PSYCH 221)
  • SYMSYS 195L: Methods in Psycholinguistics (LINGUIST 245B)
  • SYMSYS 195M: Measuring Learning in the Brain (EDUC 464, NEPR 464, PSYCH 279)
  • SYMSYS 195N: Natural Language Processing with Deep Learning (CS 224N, LINGUIST 284)
  • SYMSYS 195R: Writing Systems: Theory, History, and Cognition (SYMSYS 295R)
  • SYMSYS 195S: Service Design (CS 247S)
  • SYMSYS 195U: Natural Language Understanding (CS 224U, LINGUIST 188, LINGUIST 288)
  • SYMSYS 195W: Does Language Influence Thought?
  • SYMSYS 196: Independent Study
  • SYMSYS 197: Practicum in Teaching SymSys 1

All SYMSYS courses · All departments