Read blog post from Tabitha on Why Women in AI and come along to discuss and debate how to get more women into AI.

Academics and industry leaders are training machines to 'Think Like Us'. Machines can navigate a map with real time traffic, spot cancer earlier than a human eye, predict crop yields, trade stock, teach in school, beat a human at Jeopardy or Go, schedule meetings, paint an (unnoticeably) fake Van Gogh, predict social unrest, troll people on Twitter and influence elections.

It’s vital that the 'Us' in 'Think Like Us' is representative.

Empathy, nurturing, listening, multi-tasking, intuition, teaching and mothering are skills and qualities we need to be involved in training AI machines. The question is how to ensure they are at the table.

I believe there is an urgent need to get more women involved. It’s crucial that AI is inherently built with equality at the centre.

CognitionX is a Market Intelligence Platform for All Things AI. Our mission is to bring clarity to the complex world of AI and provide an online tool and physical events to help companies to deploy AI with less risk.

Come along to our inagural event and discuss, debate and move the conversation on. Register here.

Speakers:

Maxine Mackintosh - Founding Director, One HealthTech

Maxine is the Founding Director of One HealthTech – a network which champions and supports underrepresented groups in health innovation, particularly women, to be the future leaders in healthcare. She does this alongside a data science PhD at UCL where she is mining medical records for new predictors of dementia. Her professional work has led her to the Royal Society, Roche, L’Oreal, Department for International Development, and NHS England. On the side, she is a Global Shaper for the World Economic Forum, Fellow of the Digital Health Forum, Associate Vice Chair for the British Computer Society (Health) and mentor and judge for a number of awards and hackathons. She seriously loves digital health…and fancy dress.

Silvia Chiappa - Research Scientist, Google DeepMind

Silvia works as a Machine Learning researcher at DeepMind, a Neuroscience-inspired AI company. Her interests are based around Bayesian reasoning, approximate inference, time-series models, deep learning, and reinforcement learning. At DeepMind Silvia has been working on deep predictive models of high-dimensional temporal sequences that can be used by artificial agents to act and plan efficiently. She also sits on DeepMind's gender diversity steering group.

Joanna Bryson Reader at University of Bath, and Affiliate, Center for Information Technology Policy at Princeton University

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.

Dr. Sandra Wachter Postdoctoral Research Fellow Oxford Internet Institute

Dr. Sandra Wachter is a Postdoctoral Researcher in Data Ethics and Algorithms at the Oxford Internet Institute and a member of the Ethics and Philosophy of Information research cluster. Her research focuses on the legal and ethical implications of Big Data, AI, and robotics as well as governmental surveillance, predictive policing, and human rights online. Prior to joining the OII, Sandra worked at the Alan Turing Institute and the Royal Academy of Engineering on topics such as connectivity, AI, and autonomous systems. She serves as a policy advisor for governments and NGO’s around the world on regulatory and ethical questions concerning emerging technologies. She is also a member of the Affect- and Psychotechnology Studies Network and the Law Committee of the IEEE.

- Dr Jessica Wade will be producing an infographic from the event

Please also email me: Tabitha@cognitionX.io to be involved as a speaker, sponsor etc

DATE AND TIME

Tue, May 2, 2017

6:30 PM – 10:00 PM BST

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LOCATION

Rathbone

8 Finsbury Square

London

EC2M 7AZ

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Event date: 
Tuesday, May 2, 2017 -
18:30 to 22:00
Read blog post from Tabitha on Why Women in AI and come along to discuss and debate how to get more women into AI.

Academics and industry leaders are training machines to 'Think Like Us'. Machines can navigate a map with real time traffic, spot cancer earlier than a human eye, predict crop yields, trade stock, teach in school, beat a human at Jeopardy or Go, schedule meetings, paint an (unnoticeably) fake Van Gogh, predict social unrest, troll people on Twitter and influence elections." data-share-imageurl="">