Sam Kirshner
School of Information Systems and Technology Management - PhD in Management Science (Queen’s University) | MSc in Management Science (Queen’s University) | BScE in Electrical Engineering (Queen’s University)
Sam Kirshner is an Associate Professor in the School of Information Systems and Technology Management at the University of New South Wales. Sam completed his PhD in Management Science at Queen’s University, in Kingston, Canada. His primary research interests lie in analyzing behavioural decision making in operations and technology management and studying how algorithms and artificial intelligence impact decision making. His research and commentaries have been published in prestigious academic journals including Management Science, Decision Sciences, Production and Operations Management, Manufacturing & Service Operations Management, the European Journal of Operational Research, Journal of Behavioral Decision Making, Tourism Management, and Science.
Sam is also active in program development and teaching in Business Analytics at the UNSW Sydney. Sam teaches data visualisation, predictive analytics, and AI ethics to undergraduates, postgraduates, and MBAs. He is also the co-author of a new textbook entitled Business Analytics: A Management Approach and a member of the Ethical AI Advisory.
From This Author
AI explainer: Should ChatGPT write your next cover letter?
Job applicants should not compromise authenticity if using ChatGPT to generate cover letters, write UNSW Business School’s Sam Kirshner and Alba Olivares Nadal
Managers versus ChatGPT: who is more buzzed by bias?
Can AI be objective? New research explores how ChatGPT tackles business decisions impacted by human biases, writes UNSW Business School's Sam Kirshner
Explainer: How ChatGPT works in a sentence
AI literacy is critical for business with the use of generative AI technologies such as ChatGPT, write UNSW Business School's Alba Olivares Nadal and Sam Kirshner
How ChatGPT bias affects product recommendations
Is ChatGPT biased towards prioritising abstract and big-picture concepts over specific details? And what is the significance of this for businesses and consumers?
Charting a new course for university education in the age of ChatGPT
With the advent of ChatGPT, now is the time for universities to embark on a grand new adventure, write UNSW Business School's Chona Ryan, Christine Van Toorn, Eric Lim, Michael Cahalane and Sam Kirshner
Three useful things for educators to know about ChatGPT
Students require the ability to discern between what AI tools like ChatGPT can produce and the critical thinking necessary for good-quality work
Demand fulfilment: a key to supply chain management sustainability
Location and lead time affect inventory management and stock levels, and can even lead to overproduction and extreme waste in supply chain operations
How leaders should weigh up the risks and rewards of AI
What do leaders need to consider to be able to take advantage of AI, while also overcoming its complex challenges?
AI: friend or foe? (and what business leaders need to know)
Artificial intelligence presents significant opportunities for business – as well as not insignificant threats to humanity – and governance frameworks are urgently needed to create a fair and equitable future under AI
The Business of AI
This episode unpacks how businesses and governments can better understand and implement AI
Why attractive and trustworthy Airbnb hosts can charge more
Airbnb hosts who appear to be more attractive and trustworthy charge up to 5 per cent more than their peers for similar listings, UNSW Business School research has found
How business analytics and ethical AI create competitive advantages
There are a number of important considerations organisations must take into account when it comes to business analytics, big data and ethical AI, according to UNSW Business School's Sam Kirshner
When is the best time to release a new smartphone?
Pent-up consumer demand can drive profits, but there are risks