Women in AI

Anna Bethke is the Head of AI for Social Good of Intel's Artificial Intelligence Products Group where she is establishing partnerships with social impact organizations; enabling their missions with Intel's technologies and AI expertise. She is also actively involved in the AI Ethics discussion, collaborating on research surrounding the design of fair, transparent, ethical, and accessible AI systems.

Deborah, writer at Microsoft, is one of the original architects of the personality for Microsoft’s Cotrana. She crafted the core principles that define Cortana's approach to communication and now helps shepherd those principles as Cortana lights up on other devices, on other operating systems, and in other countries. Today, while the field of AI is still in adolescence, the industry stand in a brilliant position to shape not only technological innovation but also the culture of conversation between humans and machines.

Do our current crop of AI Assistants really use AI? If not, are they still useful? We'll look at the current state of AI Assistants, the challenges of building them, and speculate on what the future might bring. Learn from Cathy, Head of Conversation Design Outreach at Google, and the author of the O'Reilly book, "Designing Voice User Interfaces".

Today AI is being created by a very homogeneous set of people. Not only it is homogeneous in terms of race and color but also in terms of academic backgrounds. Himani explains that she is a very unlikely researcher to become an AI engineer but it is crucial so that AI created by heterogenous set of people is more fair and inclusive.

Hear from Founder & CEO of VineSeluth, Amy Gross, how they use sensory science and apply it to wines to build artificial intelligence-powered learning algorithms for the food and beverage industry. These personal preference learning algorithms and their results can be integrated into client websites, in-store kiosks and applications to hyper-personalize the shopping experience and guide marketing initiatives, increasing sales and reducing waste for the industry.

As Project Manager, Julia is responsible for the research and development of humanoid robotic (Robonaut) and autonomous system capabilities, on the Earth, the International Space Station, and for future exploration, that include dexterous manipulation, autonomous spacecraft control and caretaking, and human-robot interfaces. Julia has a BS from Purdue University, and an MS and PhD from the California Institute of Technology, all in Mechanical Engineering.

Eunice is the founder at DataGig, a digital apprenticeship marketplace that helps connect aspiring data scientists with potential employers for their big data and analytics projects on-demand. Eunice strongly believes in building the next generation of women and minorities in the tech industries.

Laurence joined the Flatiron Institute in September 2018 as member of the CCA. Prior to this, she was a KIPAC postdoctoral fellow at Stanford University, where she conducted research in applications of machine learning methods to cosmology. Laurence completed her PhD degree at the University of Cambridge in DAMTP, where she worked on applications of open effective field theory methods to the formalism of inflation. She received her B.Sc. and M.Sc. degrees from McGill University.

Advances in natural language processing (NLP) are increasingly eroding the barriers between frictionless human-machine interaction, creating opportunities to develop nuanced and natural communication techniques that more accurately convey person-to-person dialogue. In this episode, Margaret discussed how convolutional neural networks and long short-term memory networks are enabling more sophisticated NLP systems and building the necessary components to lay the foundation for advanced dialogue.

Data & Trust Working Group is part of the AI Global Governance Network of Task Forces. Gosia joins us to explain how AI can compute an enormous amount of data helping us understand our own behavioural patterns. We need data sets to train AI to be able to do it.

At the Deep Learning Summit in Toronto earlier this year, we were fortunate enough to be joined by both Sara and Natacha from Google Brain for an exclusive fireside chat. Hear about Sara’s breakthrough work, as well as her journey in AI and Deep Learning.

As we know, deep learning is transforming every industry it touches, but it can be challenging for not only small enterprises, but companies of all shapes and sizes to know where to start and how to apply AI to help optimise their work and save money. Speaking at the Deep Learning Summit in Toronto earlier this month, it was great to chat to Mai to hear how Sightline Innovation’s work has progressed over the last year and to chat about some of the new projects they’re working on.

Yolanda is an AI Policy Researcher at The AI Initiative of The Future Society, a think-and-do-tank incubated at Harvard Kennedy School of Government. Her research focuses on governance and policy to shape the rise of AI to benefit society broadly while mitigating societal risks, including algorithmic bias, fairness, privacy, cybersecurity, safety, and impact on employment and inclusion.

Neural networks have recently been applied to many biological problems, including drug discovery. Applications of DNNs combined with domain expertise can help design de novo druglike compounds and generate large virtual chemical libraries, which can be more efficiently screened for in silico drug discovery purposes. Polina describes aspects of applications of deep adversarial networks and reinforcement learning for molecular de novo design.

Learn from Lydia, who works in the intersection of data, culture and health.