RSS West Midlands: Anthropomorphic Learning

 
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RSS local group meetings

Thursday 20 June 2019, 05:00pm - 06:00pm

 
Location MS.04, University of Warwick

Speaker: Ganna Pogrebna (University of Birmingham)

Understanding and modelling human behaviour is one of the major tasks facing industry and academia of the future. This task is especially important when we consider interactions between humans and technology. Decision support systems, suggestion systems, automation, etc. – all these technologically intense aspects of human life require accurate predictions of what people like, what people prefer, and where people need help of automated agents. Under these circumstances, recent advances in computer science, statistics, and mathematics offer several methods which try to model human behaviour. Specifically, the methodology of machine learning and, more recently, deep learning allows us to generate predictions useful for many different facets of human life. Yet, there are many aspects of human life and decision making where machine learning and deep learning fail to provide reliable and accurate results. One of the most notorious examples is suggestion systems: many of us regularly shop online using different platforms (such as Amazon) and receive suggestions for future purchases. Yet, very few of us find these suggestions helpful. One of the reasons why AI fails in many cases to correctly anticipate human behaviour is that AI algorithms tend to ignore existing insights from decision theory and behavioural science. By combining behavioural science models with AI algorithms, we are able to significantly improve and simplify predictions of human behaviour in a wide variety of contexts. The resulting methodology which we label anthropomorphic learning allows us to develop more functional systems which better understand humans. This methodology is explainable, traceable, requires smaller training sets and, generally, outperforms existing algorithms by generating more accurate predictions.

About the speaker: Ganna is a Professor of Behavioral Economics and Data Science at the University of Birmingham and a Fellow at the Alan Turing Institute. She is also a Turing Lead for the University of Birmingham and a Behavioral Data Science Lead at the Alan Turing Institute. Blending behavioral science, computer science, data analytics, engineering, and business model innovation, Ganna helps businesses, charities, cities, and individuals to better understand why they make decisions they make and how they can optimize their behavior to achieve higher profit, better (cyber)security, more desirable social outcomes, as well as flourish and bolster their well-being.

Organiser Name Ian Hamilton

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Organising Group(s) RSS West Midlands Local Group

 

 

 

 

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