2026년도 2학기 특강: 인공지능: 윤리, 가치, 위험성 (HUMN429D-01) 강의계획서

1. 수업정보

학수번호 HUMN429D 분반 01 학점 3.00
이수구분 인문사회과학선택 강좌유형 강의실 강좌 선수과목
포스테키안 핵심역량
강의시간 화, 목 / 15:30 ~ 16:45 / 무은재기념관 강의실 [309호] 성적취득 구분 G

2. 강의교수 정보

Baker Calvin Collins 이름 Baker Calvin Collins 학과(전공) 인문사회학부
이메일 주소 calvin@postech.ac.kr Homepage
연구실 전화 279-2024
Office Hours 무은재기념관 410호

3. 강의목표

This is an introductory course in the philosophy of artificial intelligence (AI). The emphasis throughout the course will be on moral and political questions related to current and future AI systems. However, we may also ask AI-related questions in the philosophies of mind, language, and science. Example questions include: what is algorithmic bias and how should it be addressed? To what extent should a right to privacy protect us from digital surveillance by national governments and by private corporations? Would our lives lack meaning if, in the future, AI models could perform most or all economically-valuable tasks better than humans? Would it be good for us to inhabit pleasant, but possibly illusory, virtual worlds? Under what conditions would an AI be a moral patient: an entity whose legitimate needs and interests we are morally required to take into account in our practical deliberation? Could future AI models pose a genuine existential threat to humanity? Is the singularity hypothesis something we should take seriously?

The current draft of the syllabus can be found here: https://static1.squarespace.com/static/642f3e920400867b65e4db49/t/6a4e98e0b60bb5335d5e7cc2/1783535840741/Artificial_intelligence__Ethics__values__risks__Fall_26_.pdf

4. 강의선수/수강필수사항

Please note that all readings, discussions, and assessments—including oral examinations—will be conducted in English. Mastery of written and spoken English is essential for passing the course.

5. 성적평가

중간고사 기말고사 출석 과제 프로젝트 발표/토론 실험/실습 퀴즈 기타
30 30 10 20 10 100
비고

6. 강의교재

도서명 저자명 출판사 출판년도 ISBN

7. 참고문헌 및 자료

All readings will be made available online.

8. 강의진도계획

Sample topics include:
- Algorithmic bias
- Transparency and the right to an explanation
- Privacy and surveillance
- The future of work and leisure
- AI consciousness and moral status
- Existential risk
- The singularity

9. 수업운영

10. 학습법 소개 및 기타사항

11. 장애학생에 대한 학습지원 사항

- 수강 관련: 문자 통역(청각), 교과목 보조(발달), 노트필기(전 유형) 등

- 시험 관련: 시험시간 연장(필요시 전 유형), 시험지 확대 복사(시각) 등

- 기타 추가 요청사항 발생 시 장애학생지원센터(279-2434)로 요청