The field of AI is moving towards a more human-centered approach, with a focus on enhancing critical thinking, metacognitive engagement, and emotional literacy. Researchers are exploring innovative methods to promote responsible AI engagement, such as introducing metacognitive prompts to foster critical thinking and developing tools to increase consumer awareness of the environmental impacts of large language models. The use of AI in education is also being investigated, with studies examining how students interact with AI tools and how these interactions can be optimized to support personalized learning. Furthermore, researchers are working on designing more transparent and interpretable AI systems, including conversational search interfaces and multi-agent learning environments. Noteworthy papers in this area include: Exploring Societal Concerns and Perceptions of AI, which introduces a novel conceptual framework distinguishing problem-seeking from problem-solving to clarify the unique features of human intelligence in contrast to AI. Another notable paper is Enhancing Critical Thinking in Generative AI Search with Metacognitive Prompts, which examines the impact of metacognitive prompts on critical thinking during GenAI-based search.
Human-Centered AI Development and Responsible AI Engagement
Sources
Exploring Societal Concerns and Perceptions of AI: A Thematic Analysis through the Lens of Problem-Seeking
Unpacking Graduate Students' Learning Experience with Generative AI Teaching Assistant in A Quantitative Methodology Course
Mapping Student-AI Interaction Dynamics in Multi-Agent Learning Environments: Supporting Personalised Learning and Reducing Performance Gaps