About

Keng Siau is a prominent researcher whose work sits at the intersection of artificial intelligence, machine learning, robotics, and their transformative effects on society, business, and humanity. His scholarship has made significant contributions to understanding how exponential technological advancements are reshaping industries, workforce dynamics, and human interaction at unprecedented scale. Among his most influential works, his 2019 paper on "Artificial Intelligence, Machine Learning, Automation, Robotics, Future of Work and Future of Humanity" has accumulated over 420 citations, while his exploration of trust-building in AI and robotics systems has garnered nearly 400 citations — reflecting the field's urgent need to address human confidence in emerging technologies. Siau has also made notable contributions to applied domains, examining AI's disruptive impact on marketing and sales, higher education, and healthcare, where he has tackled critical ethical and moral questions surrounding autonomous systems. His timely research on technology's role during the COVID-19 pandemic further demonstrates his ability to connect theoretical frameworks to real-world challenges. With a cumulative citation record spanning hundreds of scholars globally, Siau's work serves as essential reading for anyone seeking to understand the societal implications of our increasingly automated future.

Research Focus

Key Achievements

8
H-Index
11
Papers
1,088
Total Citations
99
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Intelligence, Machine Learning, Automation, Robotics, Future of Work and Future of Humanity
423 citations · 2019
📈 Most Prolific Year: 2018 (4 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: City University of Hong Kong, University of British Columbia, Missouri University of Science and Technology, Singapore Management University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago