Description: Human-centered AI design refers to the creation of artificial intelligence systems that prioritize the needs, experiences, and values of users. This approach seeks to ensure that technology is not only functional but also accessible and understandable for people. By integrating principles of user-centered design, the aim is to make interactions with AI intuitive and to ensure that the results generated by these systems are explainable and transparent. This is particularly relevant in contexts where automated decisions can significantly impact people’s lives, such as in healthcare, criminal justice, and hiring practices. Explainable AI, as part of this human-centered design, focuses on making the decision-making processes of AI clear and understandable, allowing users to grasp how and why a specific conclusion was reached. This approach not only enhances user trust in technology but also promotes greater accountability in the development and implementation of AI systems, ensuring they align with the ethical and social values of the community.
