human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "research priorities for robust and beneficial artificial intelligence"):
  Abstract: Success in the quest for artificial intelligence has the potential to bring unprecedented benefits to humanity, and it is therefore worthwhile to investigate how to maximize these benefits while avoiding potential pitfalls. This article gives numerous examples (which should by no means be construed as an exhaustive list) of such worthwhile research aimed at ensuring that AI remains robust and beneficial.

Includes members:
  Member "toward idealized decision theory":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "plausibility and probability in deductive reasoning")
  Member "friendly artificial intelligence the physics challenge":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "limits to verification and validation of agentic behavior")
  Member "practical verification of decision making in agent based autonomous systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "from what to how an initial review of publicly available ai ethics tools methods and research to translate principles into practices")
  Member "decision theory with resource bounded agents":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "bounded incentives in manipulating the probabilistic serial rule")
  Member "game theory with translucent players":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "perfect prediction in minkowski spacetime perfectly transparent equilibrium for dynamic games with imperfect information")
  Member "reasoning about beliefs and actions under computational resource constraints":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "flexible deep neural network processing")
  Member "quasi newton methods a new direction":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "active probabilistic inference on matrices for pre conditioning in stochastic optimization")
  Member "i don t want to think about it now decision theory with costly computation":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "sok tools for game theoretic models of security for cryptocurrencies")

Question: Please tell me which class the source paper 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)