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Forbidden knowledge in machine learning reflections on the limits of research and publication
- Source :
- AI & SOCIETY. 36:767-781
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Certain research strands can yield “forbidden knowledge”. This term refers to knowledge that is considered too sensitive, dangerous or taboo to be produced or shared. Discourses about such publication restrictions are already entrenched in scientific fields like IT security, synthetic biology or nuclear physics research. This paper makes the case for transferring this discourse to machine learning research. Some machine learning applications can very easily be misused and unfold harmful consequences, for instance, with regard to generative video or text synthesis, personality analysis, behavior manipulation, software vulnerability detection and the like. Up till now, the machine learning research community embraces the idea of open access. However, this is opposed to precautionary efforts to prevent the malicious use of machine learning applications. Information about or from such applications may, if improperly disclosed, cause harm to people, organizations or whole societies. Hence, the goal of this work is to outline deliberations on how to deal with questions concerning the dissemination of such information. It proposes a tentative ethical framework for the machine learning community on how to deal with forbidden knowledge and dual-use applications.
- Subjects :
- FOS: Computer and information sciences
Computer Science - Machine Learning
Computer Science - Artificial Intelligence
Computer science
media_common.quotation_subject
Machine Learning (stat.ML)
02 engineering and technology
0603 philosophy, ethics and religion
Machine learning
computer.software_genre
Machine Learning (cs.LG)
Computer Science - Computers and Society
Statistics - Machine Learning
Artificial Intelligence
Research community
Computers and Society (cs.CY)
0202 electrical engineering, electronic engineering, information engineering
Forbidden knowledge
Ethical framework
media_common
business.industry
Taboo
06 humanities and the arts
Term (time)
Human-Computer Interaction
Philosophy
Artificial Intelligence (cs.AI)
Harm
020201 artificial intelligence & image processing
060301 applied ethics
Artificial intelligence
Performing arts
business
computer
Generative grammar
Subjects
Details
- ISSN :
- 14355655 and 09515666
- Volume :
- 36
- Database :
- OpenAIRE
- Journal :
- AI & SOCIETY
- Accession number :
- edsair.doi.dedup.....615cd12d26b6156362437b1d27013923