Ali Alkhatib

Ali Alkhatib is a researcher specializing in Human-Computer Interaction and algorithm ethics. He previously served as the Director of the Applied Data Ethics Center at the University of San Francisco. His research integrates social science theories to explore the impact of technological systems on humans and their ecosystems, particularly in the fields of algorithmic decision-making and the digital economy. He has collaborated with labor rights organizations and gig economy workers to study the structural challenges of gig work and proposed a novel framework called “Street-Level Algorithms” to understand algorithmic recommendation systems. During his Ph.D. studies in computer science at Stanford University, he worked under the guidance of Michael Bernstein. He also holds a dual bachelor's degree in Anthropology and Informatics from the University of California, Irvine.

• Present·University of San Francisco·Director, Applied Data Ethics Center
  • Led a research team to investigate the societal risks of algorithmic systems and collaborated with related communities and organizations to devise solutions.
• 2014-2020·Stanford University·Ph.D. Researcher
  • Conducted research in Human-Computer Interaction under the supervision of Michael Bernstein, focusing on the societal impact of the gig economy and algorithmic recommendation systems.

• 2014-2020·Stanford University·Ph.D. in Computer Science (Incomplete)
  • Research focus: Human-Computer Interaction and Algorithm Ethics
• 2010-2014·University of California, Irvine·Bachelor’s Degrees in Anthropology & Informatics
  • Specialization: Human-Computer Interaction
  • Honors thesis: The “Quantified Self” Movement in Digital Culture