Q1 (OPERATIONS RESEARCH & MANAGEMENT SCIENCE 2/106)
征稿主题
Socially Responsible AI Ecosystems: Exploring the Design, Applications, and Implications of AI Innovation
细分领域
Human-centered AI
The manner in which the socio-technical design of AI-based systems affects user experience, behaviour, and satisfaction
The success factors of human-AI collaboration in an organisational environment
The factors underpinning the optimal benefits of AI for diverse user groups
Designing accessible AI-based systems to accommodate the needs of diverse user groups
Human-AI interaction and the socio-technical design implications for society
Opportunities and challenges of human-centered AI for organisations
Responsible AI ecosystems that enhance human creativity and problem-solving capabilities
How to prepare the workforce for human-focused digital transformation using AI
Explainability in AI systems and its impact on human-centered design
Responsible AI ecosystems in diverse contexts
Implementation of AI-based systems in organisational settings and the impact on workflows, employee roles, and organisational culture• Social and cultural implications of the adoption of AI in different contexts
Biases in AI-based systems and implications for sustainable decision-making
Responsible AI ecosystems and digital transformation using AI
Challenges and obstacles in digital transformation using AI
Assessing and measuring the impact of responsible AI on stakeholders and society.
Explainability in AI systems and its role in building trust and ensuring transparency across diverse organizational and cultural settings
Socio-technical and sustainability implications of AI
Designing AI-based systems to align with economic, social and sustainability goals to ensure cultural and social inclusivity• Designing AI-based systems to account for health and wellbeing in the workplace
The socio-technical factors contributing to the social exclusion of stakeholders using AI
The socio-technical factors contributing to the growing digital divide with respect to AI
A socio-technical perspective on AI-based infrastructure for environmental sustainability
Designing AI-based systems that are accountable and transparent to users and society
Policy and Governance around AI
Policies ensuring data privacy, security, and fairness in using AI
Strategies to address competing and conflicting interests of stakeholders
Regulatory frameworks that account for the socio-technical implications of AI
Governance in the context of responsible AI ecosystems
