Artificial Intelligence (AI) is integrated into a variety of disciplines,
including fields such as national security,
transportation, healthcare, and business. Within UCI, centers and programs have been established to explore
applications within the law, healthcare, and business fields. UCI Law established a research-based institute
focused on intersections of AI and emerging technology and its impact on public policy and the law. The UCI
Health System launched the Center for Artificial Intelligence in Diagnostic Medicine to advance patient care,
improve health outcomes, and lower costs by leveraging machine learning technology in all areas of healthcare.
In addition to offering a Certificate in AI Fundamentals, the UCI Paul Merage School of Business has
acknowledged that new technologies, including AI, are redefining the industry.
Neil Sahota
Photographer unknown
Neil Sahota is the CEO of ACSI Labs, United Nations (UN) AI Advisor, IBM Master Inventor, lecture at UC
Irvine, and coauthor of the award-winning business book Own the A.I. Revolution (McGraw Hill, 2019).
Neil cofounded the UN’s AI for Good Initiative and is actively helping build its ecosystem of strategic
partnerships.
AI in the Workplace
When Robots Replace Human Managers: Introducing the Quantifiable Workplace.
NEIL SAHOTA & MICHAEL ASHLEY
AI is driving the use of data in the decision-making process and how it might affect management styles
in the future. For example, one company replaced its HR department with an automated system and relies
on quantifable data to make adminstration decisions.
AI in Law
The Law in Computation: What Machine Learning, Artifical Intelligence, and Big Data Mean for Law and
Society Scholarship
TANIA DOCARMO
Providing a range of example case studies, this article explains how and why AI needs to be considered
in both the law and social science disciplines. For example, algorithmic warfare, biometrics, and gig
economies are influencing the interpretations of laws and legal jurisdiction.
Peter Chang
Photo by Francisco Chanes
Peter Chang is an assistant professor-in-residence for the departments of Radiological Sciences and Computer
Science at UCI and director
for the Center for Applied Artificial Intelligence Research (A2IR), a multispecialty initiative to develop
and integrate AI technology across the UCI healthcare system. He is also a cofounder of multiple AI startups
including most recently Avicenna.ai, a company focused on deep learning for medical imaging diagnosis. Dr.
Chang’s unique perspective arises from his experience as a radiologist and full-stack software engineer with
more than a decade of experience building FDA-cleared tools used in hospitals around the world.
Daniel Chow
Photo by Francisco Chanes
Daniel Chow is codirector for the Center for Artificial Intelligence in Diagnostic Medicine at UCI, where
he leads the implementation of digital health technologies into patient care settings, including
California’s first bedside MRI (magnetic resonance imaging) and automated solutions for stroke detection. He
orchestrated a collaboration between medical specialties, administrators, and scientists to develop and
implement a solution at UCI Health to triage high-risk COVID-19 patients, which is now being utilized
in a federal award to evaluate monoclonal antibody therapies.
Leonard Lane
Photo by Jeanine Hill
Leonard Lane is a senior lecturer of strategy with a special emphasis in international business and
supply chain orchestration at the UCI Paul Merage School of Business and a senior advisor to the Group
Chairman Fung Group, Hong Kong. He is a coauthor of the book Competitive Intelligence 2.0: Competing in
a Digital World (Lexingford Publishing, 2020), which applies AI to competitive intelligence and
understanding business competitors.
Tingting Nian
Photo by Jeanine Hill
Tingting Nian is an assistant professor of information systems and a Hellman Fellow in the Paul Merage
School of Business at UCI. She has received several grants and awards from institutions including the
Think Forward Initiative, Hellman Foundation, Wharton Customer Analytics Initiative, and INFORMS. Her
research applies machine learning in the areas of social media, online communities, and economics of
digital goods.
AI and Business Intelligence
AI Meets BI: Artificial Intelligence and Business Inelligence
LAKSHMAN BULUSU & ROSENDO ABELLERA
In a typical analytics sphere, key drivers of analytics influence the various forms of business
intelligence (BI).
Competitive Intelligence 2.0
Competitive Intelligence 2.0: Competing in a Digital World
LEONARD LANE & K. MICHAEL RATCLIFFE
Leonard Lane and K. Michael Ratcliffe focus on how AI is impacting competitive intelligence and how it
can upend markets and automate the collection of relevant information.