Strategies for Fair Machine Learning Applications in the South African Construction

Keyphrases

• South African 100%
• Machine Learning Applications 100%
• Fair Machine Learning 100%
• Bias in Machine Learning 66%
• Construction Industry 33%
• South Africa 33%
• Construction Sector 33%
• Increased Productivity 33%
• Technological Progress 33%
• Statistical Analysis 33%
• Cost Overrun 33%
• Machine Learning 33%
• Ethical Issues 33%
• Policy Making 33%
• Interdisciplinary Collaboration 33%
• Regulatory Bodies 33%
• Socioeconomic Factors 33%
• Policy Development 33%
• Machine Learning Algorithms 33%
• Project Quality 33%
• Delphi Method 33%
• AI Technology 33%
• Historical Factors 33%
• Machine Learning Based 33%
• Construction Project Delivery 33%
• Continuous Model 33%
• AI Adoption 33%
• AI Integration 33%
• Responsible AI 33%
• Mitigating Bias 33%
• Fair AI 33%
• AI Regulation 33%
• Industry Stakeholders 33%
• Construction Digitalization 33%
• Model Training 33%
• In-depth Literature Review 33%
• Ethical Integration 33%
• Human Oversight 33%
• AI-assisted Decision-making 33%
• Inclusive Data 33%
• Model Monitoring 33%

Social Sciences

• Machine Learning 100%
• Learning System 100%
• Artificial Intelligence 60%
• Construction Industry 20%
• Literature Reviews 20%
• Best Practice 20%
• Delphi Method 20%
• Median 20%
• Digitalization 20%
• Decision Making 20%
• Technological Advancement 20%
• Machine Learning Algorithm 20%
• Project Delivery 20%
• Republic of South Africa 20%
• AI Adoption 20%

Economics, Econometrics and Finance

• Machine Learning 100%
• Artificial Intelligence 66%
• Construction Industry 16%
• Delphi Method 16%
• Median 16%