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 "ai ethics for systemic issues a structural approach"):
  Abstract: The debate on AI ethics largely focuses on technical improvements and stronger regulation to prevent accidents or misuse of AI, with solutions relying on holding individual actors accountable for responsible AI development. While useful and necessary, we argue that this "agency" approach disregards more indirect and complex risks resulting from AI's interaction with the socio-economic and political context. This paper calls for a "structural" approach to assessing AI's effects in order to understand and prevent such systemic risks where no individual can be held accountable for the broader negative impacts. This is particularly relevant for AI applied to systemic issues such as climate change and food security which require political solutions and global cooperation. To properly address the wide range of AI risks and ensure 'AI for social good', agency-focused policies must be complemented by policies informed by a structural approach.

Includes members:
  Member "principles alone cannot guarantee ethical ai":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "closing the ai accountability gap defining an end to end framework for internal algorithmic auditing")
  Member "principles alone cannot guarantee ethical ai":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "closing the ai accountability gap defining an end to end framework for internal algorithmic auditing")
  Member "tackling climate change with machine learning":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "towards the systematic reporting of the energy and carbon footprints of machine learning")
  Member "the role of cooperation in responsible ai development":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "dynamic algorithmic service agreements perspective")
  Member "the ethics of ai ethics an evaluation of guidelines":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "ethics of food recommender applications")
  Member "the global landscape of ai ethics guidelines":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "ai safety state of the field through quantitative lens")
  Member "the malicious use of artificial intelligence forecasting prevention and mitigation":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "watch your up convolution cnn based generative deep neural networks are failing to reproduce spectral distributions")

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)