This chapter offers a comprehensive overview of hybrid intelligence, through which humans collaborate with artificial intelligence (AI) systems to enhance human and AI capabilities while ensuring that human values, needs, and authority remain central. In line with the principles of Human-Centered AI (HCAI), hybrid intelligence leverages the complementary strengths of humans and AI to create systems that augment, rather than replace, human decision-making and creativity. The chapter discusses how hybrid intelligence prioritizes human oversight, controllability, authority, and ethical considerations, ensuring that AI serves to enhance human well-being and aligns with societal values. It also addresses recent technological advancements, including foundation models, which have highlighted the importance of hybrid intelligence in fields such as healthcare, decision support, and innovation. Alongside these developments, the chapter emphasizes critical ethical and social challenges, such as fairness, accountability, trust, and privacy, within an HCAI framework. The chapter concludes by highlighting future research directions that integrate technical, social, and ethical perspectives to create sustainable, human-centered hybrid intelligence systems that prioritize human agency oversight as well as ethical design.

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Hybrid Intelligence

  • Christoph Lutz,
  • Gemma Newlands,
  • Mohammad Hossein Jarrahi

摘要

This chapter offers a comprehensive overview of hybrid intelligence, through which humans collaborate with artificial intelligence (AI) systems to enhance human and AI capabilities while ensuring that human values, needs, and authority remain central. In line with the principles of Human-Centered AI (HCAI), hybrid intelligence leverages the complementary strengths of humans and AI to create systems that augment, rather than replace, human decision-making and creativity. The chapter discusses how hybrid intelligence prioritizes human oversight, controllability, authority, and ethical considerations, ensuring that AI serves to enhance human well-being and aligns with societal values. It also addresses recent technological advancements, including foundation models, which have highlighted the importance of hybrid intelligence in fields such as healthcare, decision support, and innovation. Alongside these developments, the chapter emphasizes critical ethical and social challenges, such as fairness, accountability, trust, and privacy, within an HCAI framework. The chapter concludes by highlighting future research directions that integrate technical, social, and ethical perspectives to create sustainable, human-centered hybrid intelligence systems that prioritize human agency oversight as well as ethical design.