About this Research Topic
We are pleased to announce this Research Topic that stems from and is developed in collaboration with the workshop Respecting Human Autonomy through Human-Centered AI in the NordiCHI2020 conference.
AI is evolving at a rapid pace and has moved beyond automating repetitive tasks to continuously learn and mimic human reasoning. It has become more pervasive and embedded in our everyday lives. Therefore, developers of AI need to understand human needs, values, behavior, and cognition to design AI algorithms and applications that optimally support and empower users. Societal impacts for different stakeholders need to be understood. This calls for shifting our focus towards human-centered AI. Furthermore, the black-box nature and unintelligible complexity of AI confront users with a reduced sense of autonomy and agency when interacting with AI systems. Researchers are therefore investigating how to design transparent, explainable, and human-centered AI systems to increase trust and address various ethical and societal challenges.
In this research topic, the aim is to bring together existing knowledge and expand the scientific discussion from a multidisciplinary perspective on human-centered AI. While plenty of research is being done around this topic, it is important to explore and integrate research outcomes in the field from the lens of understanding how AI impacts human autonomy and agency. The research topic looks towards gathering evidence and consolidating grounded insights on how human-centered AI design could facilitate in respecting human autonomy and address related ethical and societal challenges posed by AI.
Contributions can address but are not limited to broader themes of:
• Explainable and transparent AI
• Human-robot collaborations
• Human-in-the-loop machine learning
• AI and human behavior
• User modeling and adaptation
• Ethics of AI
• Knowledge representation
• Social impact of automated decision-making
• Inclusive and fair AI design
We invite a variety of types of manuscripts including original research articles (incl. Empirical studies - qualitative, quantitative or mixed-methods, meta-analysis, systematic reviews, hypothesis and theory, methods), conceptual analysis, design methodologies, brief research report as well as design explorations, case studies, commentary, and opinion.
AI is evolving at a rapid pace and has moved beyond automating repetitive tasks to continuously learn and mimic human reasoning. It has become more pervasive and embedded in our everyday lives. Therefore, developers of AI need to understand human needs, values, behavior, and cognition to design AI algorithms and applications that optimally support and empower users. Societal impacts for different stakeholders need to be understood. This calls for shifting our focus towards human-centered AI. Furthermore, the black-box nature and unintelligible complexity of AI confront users with a reduced sense of autonomy and agency when interacting with AI systems. Researchers are therefore investigating how to design transparent, explainable, and human-centered AI systems to increase trust and address various ethical and societal challenges.
In this research topic, the aim is to bring together existing knowledge and expand the scientific discussion from a multidisciplinary perspective on human-centered AI. While plenty of research is being done around this topic, it is important to explore and integrate research outcomes in the field from the lens of understanding how AI impacts human autonomy and agency. The research topic looks towards gathering evidence and consolidating grounded insights on how human-centered AI design could facilitate in respecting human autonomy and address related ethical and societal challenges posed by AI.
Contributions can address but are not limited to broader themes of:
• Explainable and transparent AI
• Human-robot collaborations
• Human-in-the-loop machine learning
• AI and human behavior
• User modeling and adaptation
• Ethics of AI
• Knowledge representation
• Social impact of automated decision-making
• Inclusive and fair AI design
We invite a variety of types of manuscripts including original research articles (incl. Empirical studies - qualitative, quantitative or mixed-methods, meta-analysis, systematic reviews, hypothesis and theory, methods), conceptual analysis, design methodologies, brief research report as well as design explorations, case studies, commentary, and opinion.
Keywords: Human-centred AI, autonomy, agency, transparency, ethics, human behaviour, machine learning
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
