Artificial Intelligence is all around us, and often where we least expect it! Join us for our second of two events discussing how this technology is utilised - from media to social good. Learn how AI is a part of our everyday lives, and see how it can be applied (with mixed success!). Hear from researchers and comedy duo Carr Crash on some exciting topics:
Long Tran-Thanh - AI for Social Good
In recent years, there has been an increasing interest in applying techniques from AI to tackle societal and environmental challenges, ranging from climate change and natural disasters, to food safety and disease spread. These efforts are typically known under the name AI for Good. While many research works in this area have been focusing on designing machine learning algorithms to learn new insights and predict future events from previously collected data, there is another domain where AI has been found to be useful, namely resource allocation and decision making. In particular, a key step in addressing societal and environmental challenges is to efficiently allocate a set of sparse resources to mitigate the problem(s). For example, in the case of wildfire, a decision maker has to adaptively and sequentially allocate a limited number of firefighting units to stop the spread of the fire as soon as possible. Another example comes from the problem of housing management for people in need, where a limited number of housing units have to be allocated to applicants in an online manner over time. In this talk, I will demonstrate how my team has tackled some of these AI for Good problems.
Tanaya Guha and Joanne Garde-Hansen - Ageing Women on Screen: Or why the 'AI Gaze' both sees and does not see Judi Dench and Meryl Streep!
Now that AI is routinely used in search, recommendation and audience development, it is time to bring together AI researchers, film and media experts to convert the ‘raw materials’ of film and TV into insights and patterns that address diversity. As part of the SeeJane project (2014-2015), Guha established that Machine Learning (ML) -based screen content analysis can uncover hidden biases, such as gender gaps in screen time and speaking time in Hollywood movies. In this short presentation Guha introduces you to the complex task of creating an ML tool to search audio-visual content at scale (in a 5 min video) and Garde-Hansen explores (in person) how human analyses of screen age, biological age, de-ageing CGI, cosmetics can improve accuracy, and with that how the tool could then support industry and creatives.
Carr Crash!
"Carr Crash" is a stand-up comedy show by Ruby Carr (daughter and stand-up comedian) and Leslie Carr (father, standup comedian and Professor of Computer Science) exploring the human side of Artificial Intelligence. She is the first of Gen-Z and an Instagram Queen, he is the last of the Boomer generation and a PowerPoint power user. They're both stand-up comedians trying to understand how AI is shaping them, their relationship and our future. Raising children is like training AIs – it’s a nightmare trying to get them to do what you want!
Reviews for Carr Crash: 4 stars, The Student - "An unconventional mix, the show has an infectious energy which cleverly blends the theoretical and inane with a hearty wit."
Doors open and refreshments available from 6:00pm. Recommended for ages 16+
