Human-Centered AI
Human-Centered AI is an approach to artificial intelligence that prioritizes human needs, values, and experiences in the design, development, and deployment of AI systems. It focuses on creating AI that is transparent, fair, accountable, and beneficial to people, often involving interdisciplinary collaboration between AI researchers, designers, ethicists, and end-users. This concept aims to ensure AI technologies enhance human capabilities and align with societal goals rather than operate in isolation.
Developers should learn Human-Centered AI to build ethical, user-friendly, and socially responsible AI applications, especially in domains like healthcare, education, and autonomous systems where human interaction is critical. It helps mitigate risks such as bias, privacy violations, and lack of transparency, making AI more trustworthy and effective in real-world scenarios. This approach is essential for compliance with regulations like GDPR and for fostering public trust in AI technologies.