2019 SASPA Conference Presentation
Artificial Intelligence

Abstract: How do we allocate scarce sources? How do we fairly allocate costs? These are two pressing challenges facing society today. I discuss three recent projects concerning resource and cost allocation. In the first, we have been working with FoodBank Local, a social startup working in collaboration with food bank charities around the world to optimise the logistics of collecting and distributing donated food. Before we can distribute this food, we must decide how to allocate it to different charities and food kitchens. This gives rise to a fair division problem with several new dimensions, rarely considered in the literature. In the second, we consider how donated kidneys are allocated to waiting patients in Australia and New Zealand. Again, this gives rise to a fair division problem with a number of dimensions rarely considered in the academic literature. In the third, we have been looking at cost allocation within the distribution network of a large multinational company. This also has several new dimensions rarely considered in the literature.

About the Speaker: Toby Walsh is a Laureate Fellow, Scientia Professor of AI at the University of New South Wales, and Fellow of the Australian Academy of Science. He was named by the Australian newspaper as a “rock star” of Australia’s digital revolution. Professor Walsh is a strong advocate for limits to ensure AI is used to improve our lives. He has, for example, been a leading voice in the discussion about killer robots, speaking at the UN in New York and Geneva on the topic. He appears regularly on TV and radio. He has authored two books on AI for a general audience, the most recent titled “2062: The World that AI Made” which is available in Chinese, English, German, Japanese, Korean, Polish, Romanian, Russian, Turkish and Vietnamese.

The tech billionaire tweets about the famous cognitive scientist’s comprehension of artificial intelligence.
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Elon Musk Responds To Harvard Professor Steven Pinker’s Comments On A.I. | CNBC

What are the leadership challenges that Artificial Intelligence pose in the business world today? How can business leaders be prepared to thrive in this inevitable global trend?

MITxHarvard Women in Artificial Intelligence Interview Series with Professor Anima Anandkumar, interviewed by Katie Collins, MIT ’21

Professor Anima Anandkumar holds dual positions in academia and industry. She is a Bren professor at Caltech CMS department and a director of machine learning research at NVIDIA. At NVIDIA, she leads the research group that develops next-generation AI algorithms. At Caltech, she is the co-director of Dolcit and co-leads the AI4science initiative, along with Yisong Yue. She has spearheaded the development of tensor algorithms, first proposed in her seminal paper. They are central to effectively processing multidimensional and multimodal data, and for achieving massive parallelism in large-scale AI applications. Prof. Anandkumar is the youngest named chair professor at Caltech, the highest honor the university bestows on individual faculty. She is recipient of several awards such as the Alfred. P. Sloan Fellowship, NSF Career Award, Faculty fellowships from Microsoft, Google and Adobe, and Young Investigator Awards from the Army research office and Air Force office of sponsored research. She has been featured in documentaries and articles by PBS, Wired magazine, MIT Technology Review, YourStory, and Forbes. Prof. Anandkumar received her B.Tech in Electrical Engineering from IIT Madras in 2004 and her PhD from Cornell University in 2009. She was a post-doctoral researcher at MIT from 2009 to 2010, visiting researcher at Microsoft Research New England in 2012 and 2014, assistant professor at U.C. Irvine between 2010 and 2016, associate professor at U.C. Irvine between 2016 and 2017, and principal scientist at Amazon Web Services between 2016 and 2018.

Personal Homepage: http://tensorlab.cms.caltech.edu/users/anima/
Lab Website: http://tensorlab.cms.caltech.edu
Paper on Tensor Algorithms: https://jmlr.org/papers/volume15/anandkumar14b/anandkumar14b.pdf
AI4Science Initiative: https://www.ist.caltech.edu/ai4science/
TED Talk on the “Trinity of AI” (Data, Algorithms, and Compute): https://www.youtube.com/watch?v=zkJ5lEuGQDw

Fei-Fei Li came to the U.S. from China at 16 with a love for science and she never looked back. Educated at Princeton and Caltech, her early work in robotics revolutionized machine learning and AI. Her focus on inclusion in tech careers and diversity in what we teach machines suggests that tomorrow’s robots won’t be sexist.

Vote for Women Tech Charge in the Webby’s People’s Voice: https://vote.webbyawards.com/PublicVoting#/2020/podcasts/general-series/technology – last day to vote Thursday 7th May!

Professor Maja Pantic helps machines understand human emotion. She’s a world leading expert in machine learning, deep learning and artificial intelligence. In her roles at Imperial College London and as head of Samsung AI lab she is developing diverse real-world applications for using machines to help humans understand the world.

In this episode of Women Tech Charge she joins Anne Marie to discuss how intelligent robots can help autistic children emotionally interact with others, how ‘deep-fake’ videos can be used for good, and how she believes humanity is progressing toward mind-to-mind communication, which will lead to the end of lying. It’s a fascinating conversation!

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Follow Professor Maja Pantic on twitter: @MajaPantic70

Anne Marie Imafidon is on Twitter @aimafidon and Instagram @notyouraverageAMI

Interview with Stuart Russell, Professor of Computer Science, University of California, Berkeley, at the AI for Good Global Summit 2018, ITU, Geneva, Switzerland.

“The very first idea that we might be suffering this pandemic came from an AI program.”

Artificial intelligence (AI) can be used in testing, tracing and even treating COVID-19. Hear more from Professor Toby Walsh in this episode all about coronavirus and the computer.

This is episode 20 of the #LatestFromScience series, our response to provide credible and up to date information right now on COVID-19. You can watch more episodes here: https://www.youtube.com/playlist?list=PL9DfJTxCPaXKZiJ1cZioIhxmJZmwfru_o

This is also a chance for you to ask your questions. Send us a direct message via Facebook, Tweet us on the hashtag #LatestFromScience, or visit our website, science.org.au/covid19

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Fei-Fei Li came to the U.S. from China at 16 with a love for science and she never looked back. Educated at Princeton and Caltech, her early work in robotics revolutionized machine learning and AI. Her focus on inclusion in tech careers and diversity in what we teach machines suggests that tomorrow’s robots won’t be sexist.


Professor Toby Walsh tells us what his pet peeves are about the Hollywood blockbuster, The Terminator.

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The future of work in a world of AI and robots

Toby Walsh is Scientia Professor of Artificial Intelligence at the Department of Computer Science and Engineering at the University of New South Wales, research group leader at Data61, guest Professor at Technical University of Berlin, external Professor of the Department of Information Science at Uppsala University and an honorary fellow of the School of Informatics at Edinburgh University.

He was Editor-in-Chief of the Journal of Artificial Intelligence Research, and of AI Communications. He is on the editorial board of the Journal of the ACM, Journal of Automated Reasoning and the Constraints journal. He has been elected a fellow of both the Australian Academy of Science, Association for the Advancement of Artificial Intelligence and the European Coordinating Committee for AI in recognition of his research in artificial intelligence and service to the community.

He has won the NSW Premier’s Prize for Excellence in Engineering and ICT, the Humbolt Award, and the Research Excellence Award of the Association for Constraint Programming. He has been Secretary of the Association for Constraint Programming (ACP) and is Editor of CP News, the newsletter of the ACP. He is one of the Editors of the Handbook for Constraint Programming, and the Handbook for Satisfiability.

Ci2019 featured over 40 global leaders including Chief Technology Officer of Google Ray Kurzweil (USA), CEO of NESTA Geoff Mulgan CBE (UK), Chief Data and Transformation Officer at DBS Bank Paul Cobban (Singapore), A.I. Experts Professor Toby Walsh and Liesl Yearsley (USA), Co-founder of Oxford Insights Emma Martinho-Truswell (UK), Ethics leader Professor Simon Longstaff, Ethics and Culture of Robots and AI Professor Kathleen Richardson (UK), brain performance neuroscientist Dr Etienne Van Der Walt (South Africa), transdisciplinary Behavioural Scientist Dr Richard Claydon (Hong Kong), Director of the Learning Technology Research Centre Carl Smith (UK), Australia’s Chief Scientist Dr Alan Finkel AO, Deakin University Vice Chancellor Professor Jane Den Hollander, ATO’s Jane King, Innovation & Science Australia CEO Dr Charles Day, CEDA CEO Melinda Cilento, Jobs for NSW CEO Nicole Cook, Behaviour Innovation founder & CEO John Pickering, People and Performance expert Andrew Horsfield, TEDx Melbourne’s Jon Yeo and many more to be announced.

The theme for Creative Innovation 2019 Asia Pacific was “Human Intelligence 2.0 – A Collective Future? How will we manage the transition?” . The event showcased world changing innovators, disruptors, futurists, scientist, inspired thinkers and curious souls gathered together in an interactive community. Creative Innovation Global is the premiere conference for anyone who cares about creativity, innovation, leadership and transformation. Creative Innovation Global delivers world class creative and exponential thinking, innovation leadership and pragmatic solutions. The event offers credible forecasts, strategies and practices to help transform you and prepare the leadership of organisations for disruption in all its forms. A place to imagine the future, inspire your leadership and achieve business success.

Creative Innovation Global has received two global awards and numerous Australian Awards winning the title of best corporate event in the world. Creative Universe and Creative Innovation Global have just been ranked among the top 20 event organizers and agencies from around the world as part of the newly released Eventex All-Stars Index: https://eventex.co/all-stars/ We work on engaging hearts and minds and building leadership and innovation capability with teams through custom designing Creative Innovation half and full day workshops for organisations on a regular basis. To see more about our inspirational leadership programs and other events and offerings, please visit http://creativeinnovationglobal.com.au

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“Human-compatible AI” by Stuart Russell, Professor of Computer Science at UC Berkeley on March 21st 2018 at the Data Driven Paris.

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Professor Rose Luckin
UCL Knowledge Lab, UCL Institute of Education

Tuesday 16th May 2017

What makes a good teacher and a successful lesson? Artificial Intelligence (AI) in the classroom is the key that is unlocking the answer, according to Rose Luckin, Professor of Learning with Digital Technologies.

Intelligent software holds opportunities for individualised teaching that understands when and how lessons veer off topic, at what point pupils lose interest and when they are at their most engaged and receptive – providing smart interventions that help teachers find the best learning strategies for their classes.

In this UCL Lunch Hour Lecture, Professor Luckin will discuss what AI is telling us about how we learn and predict how machines and humans will interact in the classrooms of the future.

Bring your lunch and your curiosity! UCL Lunch Hour Lectures, Tuesdays and Thursdays, Darwin Lecture Theatre, 1.15 – 1.55pm (term time)

Free to attend, live stream or watch online
More info: http://events.ucl.ac.uk/lhl
Join the conversation on Twitter at #UCLLHL

Taken from Joe Rogan Experience #1274 w/Nicholas Christakis:

This presentation took place at the Machine Intelligence Summit in November 2016. View more videos from the event here: http://videos.re-work.co/events/10


Why AI Must Be Biased, and How We Can Respond

Like physics and biology, computation is a natural process with natural laws. We are making radical progress in artificial intelligence because we have learnt to exploit machine learning to capture existing computational outputs developed and transmitted by humans with human culture. This powerful strategy unfortunately undermines the assumption that machined intelligence, deriving from mathematics, would be pure and neutral, providing a fairness beyond what is present in human society. In learning the set of biases that constitute a word’s meaning, AI also learns patterns some of which are based on our unfair history. Addressing such prejudice requires domain-specific interventions.

Joanna J. Bryson is a transdisciplinary researcher on the structure and dynamics of human- and animal-like intelligence. Her research covers topics ranging from artificial intelligence, through autonomy and robot ethics, and on to human cooperation. She holds degrees in Psychology from Chicago (AB) and Edinburgh (MPhil), and Artificial Intelligence from Edinburgh (MSc) and MIT (ScD). She has additional professional research experience from Oxford, Harvard, and LEGO, and technical experience in Chicago’s financial industry, and international organization management consultancy. Bryson is presently a Reader (associate professor) at the University of Bath, and an affiliate of Princeton’s Center for Information Technology Policy.

Campaign to Stop Killer Robots interview with artificial intelligence (AI) expert Toby Walsh in New York on 19 October 2015.

Professor Walsh helped draft and is a signatory to an open letter from AI experts issued 28 July 2015, which calls for a ban on autonomous weapons.

Read the Open Letter at: www.futureoflife.org

The Centre for the Study of Existential Risk is delighted to host Professor Stuart J. Russell (University of California, Berkeley) for a public lecture on Friday 15th May 2015.

The Long-Term Future of (Artificial) Intelligence

Abstract: The news media in recent months have been full of dire warnings about the risk that AI poses to the human race, coming from well-known figures such as Stephen Hawking, Elon Musk, and Bill Gates. Should we be concerned? If so, what can we do about it? While some in the mainstream AI community dismiss these concerns, I will argue instead that a fundamental reorientation of the field is required.

Stuart Russell is one of the leading figures in modern artificial intelligence. He is a professor of computer science and founder of the Center for Intelligent Systems at the University of California, Berkeley. He is author of the textbook ‘Artificial Intelligence: A Modern Approach’, widely regarded as one of the standard textbooks in the field. Russell is on the Scientific Advisory Board for the Future of Life Institute and the Advisory Board of the Centre for the Study of Existential Risk.

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