Integrating Behavioral, Economic, and Technical Insights to Understand and Address Algorithmic Bias: A Human-Centric Perspective

Business & Economics

• Fairness 100%
• Machine Learning 90%
• Decision-making Model 72%
• Learning Model 68%
• Strategic Decisions 44%
• Decision Making 39%
• Organizational Behaviour 34%
• Design Science 30%
• Human Needs 29%
• Socio-technical Systems 28%
• Behavioral Science 27%
• Complex Dynamics 27%
• Economic Incentives 24%
• Individual Behaviour 24%
• Management Information Systems 24%
• Artificial Intelligence 23%
• Trade-offs 16%
• Information Systems 16%
• Decision Maker 15%
• Economics 11%

Engineering & Materials Science

• Economics 58%
• Decision making 47%
• Machine learning 28%
• Ethical aspects 17%
• Management information systems 16%
• Artificial intelligence 11%
• Information systems 10%