human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "turing s red flag"
  Abstract: Sometime in the future we will have to deal with the impact of AI's being mistaken for humans. For this reason, I propose that any autonomous system should be designed so that it is unlikely to be mistaken for anything besides an autonomous sysem, and should identify itself at the start of any interaction with another agent.

Connected through hyperedge HE-1 (induced by source paper "why we need an ai resilient society"):
  with members:
    - "on the measure of intelligence"
    - "learning to detect fake face images in the wild"
    - "large scale gan training for high fidelity natural image synthesis"
    - "a style based generator architecture for generative adversarial networks"

Connected through hyperedge HE-2 (induced by source paper "discovering the sweet spot of human computer configurations a case study in information extraction"):
  with members:
    - "datasheets for datasets"
    - "the dataset nutrition label a framework to drive higher data quality standards"
    - "analogy mining for specific design needs"
    - "operationalizing conflict and cooperation between automated software agents in wikipedia a replication and expansion of even good bots fight"

Connected through hyperedge HE-3 (induced by source paper "human indignity from legal ai personhood to selfish memes"):
  with members:
    - "the malicious use of artificial intelligence forecasting prevention and mitigation"
    - "artificial intelligence safety and cybersecurity a timeline of ai failures"
    - "the agi containment problem"
    - "unethical research how to create a malevolent artificial intelligence"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.AI(Artificial Intelligence)