Human-centered AI

Human-centered AI

Human-centered AI is an approach to artificial intelligence that prioritizes the needs, values, and well-being of humans in the design, development, and deployment of AI systems. This paradigm shifts the focus from purely technical considerations to the ethical, social, and psychological implications of AI on individuals and society as a whole. Human-centered AI aims to create intelligent systems that augment and empower human capabilities, rather than replacing or undermining them. It emphasizes the importance of transparency, accountability, and fairness in AI decision-making processes, ensuring that the technology is aligned with human values and goals. This approach involves interdisciplinary collaboration among AI researchers, designers, ethicists, and domain experts to develop AI systems that are not only technically advanced but also socially responsible and beneficial to humanity. Human-centered AI encompasses various subfields, such as explainable AI, which focuses on making AI systems' decisions and reasoning processes understandable to human users, and interactive AI, which enables seamless and intuitive human-AI interaction. By prioritizing human needs and values throughout the AI lifecycle, human-centered AI aims to foster trust, acceptance, and adoption of AI technologies while mitigating potential risks and unintended consequences.

ethical AI, explainable AI, human-AI interaction, AI fairness, AI transparency

— Robert Anderson