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: "regulatory markets for ai safety"
  Abstract: We propose a new model for regulation to achieve AI safety: global regulatory markets. We first sketch the model in general terms and provide an overview of the costs and benefits of this approach. We then demonstrate how the model might work in practice: responding to the risk of adversarial attacks on AI models employed in commercial drones.

Connected through hyperedge HE-1 (induced by source paper "diagnostic curves for black box models"):
  with members:
    - "tutorial safe and reliable machine learning"
    - "explaining deep learning models a bayesian non parametric approach"
    - "local rule based explanations of black box decision systems"
    - "representer point selection for explaining deep neural networks"
    - "interpreting neural network judgments via minimal stable and symbolic corrections"
    - "explanations based on the missing towards contrastive explanations with pertinent negatives"
    - "learning to explain an information theoretic perspective on model interpretation"
    - "smoothgrad removing noise by adding noise"

Connected through hyperedge HE-2 (induced by source paper "the role of cooperation in responsible ai development"):
  with members:
    - "the malicious use of artificial intelligence forecasting prevention and mitigation"
    - "visual analytics in deep learning an interrogative survey for the next frontiers"
    - "ai safety gridworlds"
    - "on fairness and calibration"
    - "concrete problems in ai safety"
    - "taxonomy of pathways to dangerous ai"

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.CY(Computers and Society)