معرفی
Adam Berry is a Professor and Deputy Director of the Human Technology Institute at the University of Technology Sydney (UTS). He previously served as Deputy Director of the UTS Data Science Institute from 2021-2024. His work focuses on leading inclusive, responsible and innovative artificial intelligence for Australia, with emphasis on translating data into real-world impact through data curation, machine learning, and statistical approaches.
Education:
- PhD in Computer Science, University of Tasmania (2004-2008)
- BSc (Hons) in Computer Science, University of Tasmania (1999-2003)
Professor Berry's research spans ethical AI, energy systems, and accessibility. His work consistently bridges theoretical research with practical implementation, focusing on human-centered AI that delivers value while upholding rights and preventing harm. He has a strong track record in multi-disciplinary collaboration, bringing together expertise from computer science, social science, electrical engineering, and ethics.
His recent publications reveal a strategic evolution from foundational work in energy systems and reinforcement learning toward increasing focus on ethical and responsible AI frameworks. While maintaining strong contributions to energy analytics (electricity price forecasting, carbon intensity prediction), his 2021 survey on ethical AI principles marks a significant pivot toward governance and implementation frameworks for trustworthy AI systems.
Scientific Awards:
- CSIRO Collaboration medal (inaugural winner)
Professor Berry has secured substantial funding from diverse sources including the Digital Health CRC, Australian Renewable Energy Agency, Department of Home Affairs, and industry partners. He has led multi-million dollar initiatives like the National Energy Analytics Research Program and currently oversees the Human Technology Institute's mission for responsible AI. His industry collaborations include partnerships with Reejig (ethical talent AI), Sydney Trains (delay prediction systems), and numerous energy sector organizations. He actively contributes to the Disability Research Network, applying data-driven approaches to improve outcomes in the disability sector.
As part of the Trustworthy Digital Society research center, he advances human-centered AI through cross-disciplinary work that integrates technical expertise with social considerations. His leadership spans research design, capability development, and strategic partnership building across government, industry, and academic sectors.
