赛博格的行动边界:新的知识生产实践」「人工智能与哲学」读书会第.
Cyberg’s Operational Boundaries: New Knowledge Production Practices – “Artificial Intelligence and Philosophy” Reading Group Session.
Summary
Lead: After artificial intelligence becomes deeply embedded in research practice, what should be the foundation of research ethics responsibility? This lecture specially invites Professor Hu Su from University of Science and Technology Beijing, who will review research ethics from the Science, Technology, and Society (STS) perspective, tracing its evolution from the industrial era to the digital‑intelligent era.
Introduction
After AI penetrates scientific research practice, what should be the foundation of research ethics responsibility? This lecture specially invites Professor Hu Su from University of Science and Technology Beijing, who will review the structural changes of research ethics from the industrial era to the digital‑intelligent era from a Science, Technology, and Society (STS) perspective, and discuss how the shift in practice changes the way knowledge is produced and ethical responsibilities. The lecture will combine the methodology of ordinary‑person studies and cyborg theory to further examine ethical infrastructure, and using Nature’s AI usage charter as an example, explore how these theories are incorporated into current research normative practice. This reading group will be held online on Wednesday, November 4, from 19:30 to 21:30.
The “Collective Intelligence Club” brings together scholars from artificial intelligence philosophy, philosophy of mind, logic, epistemology, philosophy of technology, and complex systems to launch “After Emergence: Questioning Machine Intelligence, Consciousness, and Knowledge” “Artificial Intelligence and Philosophy” reading group. This season’s reading group will be streamed online via Tencent Meeting, starting on Wednesday, August 26, 2026, from 19:30 to 21:30, and will consist of 10 lectures that take participants back to the conceptual foundations and intellectual history of AI. Starting from the methodology of AI philosophy, we will sequentially discuss induction, embodied cognition, machine consciousness, the semiotics of large language models, and further extend to cyborg action, value alignment, and AI-driven scientific discovery.
Report Summary
This report adopts a Science, Technology, and Society (STS) perspective to trace the structural evolution of research ethics from the industrial era to the digital‑intelligent era, revealing how ethical issues manifest differently and undergo logical transformations under varying technological conditions.
The root cause of the current research ethics crisis identified in this report does not lie in simply expanding “non-human” AI into a subject, but in the agency of the world. In an active, generative world, change replaces the fixed “human” origin, making the question “where does the foundation of ethical responsibility lie?” a problem.
To move beyond the ethical dilemma, the report draws on the STS field’s shift toward practice since the 1970s, where various schools confront the world’s agency head‑on. They each locate the autonomous, generative world in different ways and rewrite the concept of “responsibility.”
Lecture Outline
Report Summary
This report adopts a Science, Technology, and Society (STS) perspective to trace the structural evolution of research ethics from the industrial era to the digital‑intelligent era, revealing how ethical issues manifest differently and undergo logical transformations under varying technological conditions.
The root cause of the current research ethics crisis identified in this report does not lie in simply expanding “non-human” AI into a subject, but in the agency of the world. In an active, generative world, change replaces the fixed “human” origin, making the question “where does the foundation of ethical responsibility lie?” a problem.
To move beyond the ethical dilemma, the report draws on the STS field’s shift toward practice since the 1970s, where various schools confront the world’s agency head‑on. They each locate the autonomous, generative world in different ways and rewrite the concept of “responsibility.”
Lecture Outline
Lecture Outline
-
From the Industrial Age to the AI Age to Research Ethics
-
STS Insights into Knowledge Production
-
Ethical Infrastructure
-
Theoretical Framework: The Everyday Methodology of Practice Turn—How Ethnomethodology Provides “Responsibility”
-
Theoretical Framework: Cyborg Theory in the Practice Turn—How Cyborgs Provide “Responsibility”
-
Case Study: Current AI Research Ethics Infrastructure—Nature’s AI Usage Covenant
References
References
[1] HARAWAY D. Simians, cyborgs, and women: The reinvention of nature[M]. New York: Routledge, 1991.
[2] HARAWAY D. Staying with the trouble: Making kin in the Chthulucene[M]. Durham, NC: Duke University Press, 2016.
[3] HERITAGE J. Garfinkel and ethnomethodology[M]. Cambridge: Polity Press, 2007.
[4] GARFINKEL H. Introduction[M]//GARFINKEL H. Studies in ethnomethodology. Englewood Cliffs, NJ: Prentice-Hall, 1967.
[5] LYNCH M. Ontography: Investigating the production of things, deflating ontology[J]. Social Studies of Science, 2013, 43(3): 444-462.
[6] EISENMANN C, MLYNÁŘ J, TUROWETZ J, et al. “Machine down”: Making sense of human–computer interaction—Garfinkel’s research on ELIZA and LYRIC from 1967 to 1969 and its contemporary relevance[J]. AI & Society, 2024, 39(6): 2715-2733.
[7] Eisenmann et al. “Talking the sky to death” as a method: How sociologists study early artificial intelligence [EB/OL]. Sun Ningxiang, trans. The Paper·Thought Market, 2026-01-14.
Speaker Introduction
Speaker: Hu Su, lecturer in “Science, Technology and Society” at University of Science and Technology Beijing. Research interests include modernization, ontological turn, and postcolonial studies. Author of the English monograph Modernization in Eastern Tibet, published by the international academic press Routledge.
Time Information
Time Information
</h3
Sign up for the reading club:
“Artificial Intelligence and Philosophy” reading group launched | After emergence:
Probing machines’ intelligence, consciousness, and knowledge
Sign up for the reading club:
“Artificial Intelligence and Philosophy” reading group launched | After emergence:
Probing machines’ intelligence, consciousness, and knowledge
Large language models have begun reasoning and creating, embodied intelligence is entering the physical world, and AI for Science is involved in proposing hypotheses, designing experiments, and discovering laws—artificial intelligence is shifting from a tool that executes commands to one that participates in knowledge production and cognitive activities.
However, the emergence of these capabilities has not ended the debate about intelligence; instead, it raises new questions: Does a machine’s intelligent behavior mean it truly possesses intelligence? Can computation give rise to consciousness? Are large language models understanding language or merely predicting symbols? When AI participates in scientific discovery, can the generated content be called knowledge? These questions go beyond simple technical evaluation and touch on the fundamental definitions of intelligence, consciousness, meaning, knowledge, and agency.
In this context, the “Collective Intelligence Club” brings together scholars from fields such as AI philosophy, philosophy of mind, logic, epistemology, philosophy of technology, and complex systems, to jointly launch “After Emergence: Questioning Machine Intelligence, Consciousness, and Knowledge”“Artificial Intelligence and Philosophy” reading group. This season’s reading group will be streamed live via Tencent Meeting, starting on Wednesday, August 26, 2026, from 19:30 to 21:30, and will consist of 10 lectures that take us back to the conceptual foundations and intellectual history of AI. Starting from the methodology of AI philosophy, we will sequentially discuss induction, embodied cognition, machine consciousness, the semiotics of large language models, and further extend to cyborg actions, value alignment, and AI-driven scientific discovery.
Scan the QR code in the poster to sign up for the reading group
Registration Method:
Step 1: Scan the QR code with WeChat to fill in the registration information.
(Scan QR code to register)
Step 2: Fill in the information and pay to register. If you need to pay with Alipay, please register and pay on the reading club page from a PC.
Step 3: Add the operations assistant on WeChat; they will invite you to the corresponding themed reading club community (WeChat group).
PS: We encourage in‑depth discussion around the “Artificial Intelligence and Philosophy” reading club and related specific questions. To ensure discussion quality, please avoid posting content that significantly deviates from this session’s theme.
If the discussion clearly strays from the topic and does not adjust after a reminder from the host, we will have to remove that member from the discussion group and, based on their actual participation, proportionally refund the portion they did not attend.
Thank you for your understanding and cooperation. Let’s create together a focused, deep, and rewarding co‑learning space.
Resources Available After Joining the Community
Full privileges include: online Q&A, recorded playback, resource sharing, community interaction, information synchronization, co‑creation tasks with points, etc.
Special Refund and Incentive Mechanisms
We offer the following two approaches to ensure your investment yields tangible returns:
Task Completion Refund Path
Claim and successfully complete any two subtitle tasks, and you will receive a full refund of the registration fee, plus an exclusive JiZhi merchandise reward.
Operations Growth Incentive Path
After successfully completing one subtitle task, you can apply to become an operations assistant. Upon successful completion of the reading club project, tuition will be refunded. Outstanding performers may also receive an additional scholarship.
Recommended Reading
1. “Artificial Intelligence and Philosophy” Reading Group Recommended Reading Materials
Scan the QR code below to go to the Jizhi Bantu website and read the article: “Artificial Intelligence and Philosophy” Reading Group Recommended Reading Materials.
2. Recommended content from previous public accounts
Nature: The First End-to-End AI Scientist
Nature·Machine Intelligence: A New Paradigm for Scientific Discovery in the AI Agent Era
AI×SCIENCE Top Ten Frontier Observations 1: Scientific Research Based on LLM
AI×SCIENCE Top 10 Frontier Observations 4: AI Scientist
Get MirrorSpeed
Get MirrorSpeed