Human Centric
Human-centric AI focuses on aligning artificial intelligence systems with human values, needs, and expectations, prioritizing user understanding, trust, and collaboration. Current research emphasizes developing models that can understand and respond appropriately to human behavior in diverse contexts, employing techniques like reinforcement learning from human feedback, large language models for generating human-centric environments, and multimodal data fusion for improved perception and decision-making. This field is crucial for ensuring the safe and beneficial integration of AI into society, impacting areas such as healthcare, robotics, and human-computer interaction.
Papers
Developing and Evaluating a Design Method for Positive Artificial Intelligence
Willem van der Maden, Derek Lomas, Paul Hekkert
Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions
Pouya Pezeshkpour, Eser Kandogan, Nikita Bhutani, Sajjadur Rahman, Tom Mitchell, Estevam Hruschka