Women in AI

Women in AI

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Women in AI is a biweekly podcast from RE•WORK


151: S3E2: Tola Alade, Data Scientist at Lloyds Banking Group
Oct 15 • 13 min
Tola cites her story as a special one. Having initially been interested in maths and completing her degree at Queen Mary University of London earning a first-class degree, Tola went on to a career in Data Analytics, only later discovering Data Science…
150: S3E1: Roshini Johri, Senior Data Scientist, HSBC
Oct 8 • 13 min
Originally from India, Roshini started her AI journey by volunteering at the Indian Space Research organization and from there, found that her direction was headed for robotics. Having studied her masters degree at Edinburgh University, she graduated to…
149: S2E11: Brigitte Gosselink, Google.org; Google AI Impact Challenge: Using AI for Social Impact
Aug 21 • 13 min
Brigitte is Head of Product Impact at Google.org, where she leads initiatives that leverage emerging technologies and Google’s expertise to address global challenges. She is currently focused on how AI can be used for social impact through efforts like…
148: S2E10: Sarah Villeneuve, The Brookfield Institute for Innovation: Policy, Society & AI
Aug 14 • 13 min
Sarah is particularly interested in emerging technology’s impact on public policy, human well-being, and the economy. Motivated by both the potential benefits technology offers to governments and civil society, and concerns of fairness, accountability and…
147: S2E9: Myriam Côtê on Responsible AI at Mila
Aug 7 • 13 min
As Director of AI for Humanity, Myriam’s goal is to put into actions, Mila’s humanitarian mission in collaboration with both our partners of the local ecosystem and our international allies, by promoting an ethical and socially responsible usage of AI.
146: S2E8: Katherine Stevo, AI for Translating American Sign Language (ASL)
Aug 4 • 13 min
The typical translation devices for people who use ASL are gloves that aren’t very accurate. The gloves tend to be inaccurate because the translation doesn’t only come from peoples’ hand gestures, it also comes from their body language, but the gloves…
145: S2E7: Bistra Dilkina, USC, AI for Preventing Wildlife Poaching
Jul 23 • 13 min
Wildlife poaching is a serious threat, and one of the largest illegal industries in the world. Historic data on ranger patrolling and detecting illegal poaching incidents can be leveraged to train ML models. Bistra is working on these predictive ML models…
144: S2E6: Danielle Deibler, Winning the Misinformation Wars
Jul 17 • 13 min
Marvelous.ai is developing natural language tools to analyze political discourse in news and social media . Danielle is particularly focused on how messaging spreads, both negatively (propaganda) and positively (pro-democracy campaigns). In this…
143: S2E5: Kate Taylor, Using NLP in Natural Disaster Crisis Relief
Jul 9 • 13 min
Kate Taylor, a high school student and AI4ALL project member is joining us today to share her work in this area. Kate presented her work in the area in our rising stars session in Boston earlier this year. AI4ALL is an amazing project encouraging the next…
142: S2E4: Neva Durand, Learning How the Genome Folds in 3D
Jul 3 • 13 min
Neva is the chief computational scientist at Aiden lab at Baylor College of Medicine where she creates analysis and visualisation software of assays exploring how DNA folds in three dimensions. Neva explains how although there have been some huge…
141: S2E3: Gracelyn Shi, Using Deep Learning to Unlock the Secrets of Gene Expression
Jun 26 • 13 min
Artificial intelligence has the power to unlock the secrets of gene expression. Using deep learning, the wealth of genomic information that is being created can be understood and used to improve healthcare, drug discovery, and develop new cures. Gracelyn…
140: S2E2: Rana el Kaliouby, Building Emotional AI
Jun 18 • 13 min
CEO and Co-Founder of Affectiva joins us on the Podcast today to discuss her work in emotionally intelligent AI where we discuss how it can be used in a variety of areas such as treating people with autism, as well as there being commercial opportunities…
139: S2E1: Alice Xiang, Responsibility, transparency, and accountability in AI
Jun 12 • 13 min
Welcome to season 2 of the podcast, AI for Good. In this episode, Gracelyn Shi from The Knowledge Society spoke with Alice Xiang from the Partnership on AI who is working as a research scientist in the areas of fairness, transparency, and accountability…
138: New Series Update: AI for Good
May 22 • 13 min
Find out about our upcoming series focusing on the applications of AI for social good.
137: Personalizing Your Diet With AI
May 15 • 13 min
In recent years, we are becoming more conscious of our eating habits and our health, and with the help of personalised health platforms, we are able to better monitor our diet, which in turn better our wellbeing. Amice is currently working on her app,…
136: Reinforcement Learning in Canada: Martha White, University of Alberta
May 8 • 13 min
Martha’s primary research goal is to develop techniques for adaptive autonomous systems that learn on streams of data with an applied focus on computational sustainability. She focuses on reinforcement learning and representation learning to achieve this…
135: Bridge to College: Leveraging AI for Equal Opportunities in Education
May 1 • 13 min
Vielka is working on supporting underserved students towards their goal of graduation with little debt. At Bridge to College, Vielka is aiming to match students to colleges that will fund and graduate them on-time. In this episode of the podcast, we spoke…
134: Using AI to Enrich the Education Experience
Apr 24 • 13 min
Viola works to create an enriched experience in education and has been doing this in various ways for over 12 years. Viola also won the “Entrepreneur of the Year 2015” award of the Youth Business International, which is one of the world’s most honorific…
133: Reinforcement Learning: Meta-Learning Deep Networks
Apr 17 • 13 min
Deep learning has enabled significant advances in a variety of domains; however, it relies heavily on large labeled datasets. Chelsea explains how we can use meta-learning, or learning to learn, to enable us to adapt deep models to new tasks with tiny…
132: Assessing Data, Ethics, Regulation & DL Development in Finance
Apr 10 • 13 min
Jessi has been working in lobbying, policy, communications, reputation and crisis for over a decade. During that time, she has worked for political parties, businesses (start-up to FTSE 100), consultancies, think tanks and NGOs. Her particular area of…
131: Investing in AI in the Financial Sector
Apr 3 • 13 min
Maya has fifteen years of experience working in the asset management industry and specialises in targeted fundraising and marketing campaigns for the alternative fund industry.
130: Ethical Considerations of AI Policy, Law and Human Rights
Mar 27 • 13 min
Maroussia works at the crossroads of law and technology. She has a background in interactive arts, having lead interdisciplinary teams at the Obx lab for experimental media within the Hexagram research-creation institute. She was called to the Bar in 2013…
129: The Sparse Data Problem in Machine Learning
Mar 19 • 13 min
Giewee has an extensive mathematics background which she uses to resolve complex problems for Upstream E&P. She is a Lead Data Scientist for her division and has strategized and filled the need for constructing a productive advanced data analytics team to…
128: Conversational AI at Facebook
Mar 13 • 13 min
Conversational systems like Siri and Google Assistant have been around for several years now; and have recently started to play increasingly ubiquitous roles in people’s daily lives, through smart home devices, phones, or social media (like Messenger).…
126: Machine Learning at Netflix
Mar 6 • 13 min
Even if you’re not completely clued up on the technicalities of machine learning, you’ve most probably heard of or use Netflix. This means that you’re interacting with a whole myriad of ML every time you use the platform. Julie leads the Machine Learning…
127: Applied Machine Learning: A Netflix Production
Mar 6 • 13 min
We’re really excited that it’s international women’s day this week, we have a whole bunch of exciting things going on like interviews from rising stars in AI and a list of emerging talent in the space, so make sure you have a read on our blog at…
125: Harnessing Automation for a Just World
Feb 27 • 13 min
Londa is the John L. Hinds Professor of History of Science at Stanford University and directs the EU/US Gendered Innovations in Science, Health & Medicine, Engineering, and Environment project. She is a leading international expert on gender in science…
124: AI for Social Good
Feb 20 • 13 min
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…
123: With Great Dialog Comes Great Responsibility
Feb 13 • 13 min
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…
122: Why aren’t our AI Assistants smarter?
Feb 6 • 13 min
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…
121: Enriching Creativity in Applied AI with Interdisciplinary Backgrounds and Diverse Perspectives
Jan 30 • 13 min
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…
120: Using Sensory Science & AI to Personalize Wine Recommendations
Jan 16 • 13 min
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…
119: Robotics and Intelligence for Human Spacecraft at NASA
Jan 9 • 13 min
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,…
86: The Digital Apprenticeship Marketplace for the nextGen Data Professionals
Jan 2 • 13 min
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…
85: AI to Explore The Universe: Neural Networks & Gravitational Lenses
Dec 19, 2018 • 13 min
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…
84: Creating Applications That Converse, Understand and Become More Intelligent
Dec 12, 2018 • 13 min
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…
83: Open Data and Personal Data Ownership Platforms: social and legal implications
Dec 5, 2018 • 13 min
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…
82: Women in AI Podcast Special - Sara Hooker & Natacha Mainville, Google Brain
Nov 27, 2018 • 13 min
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.
81: Making Deep Learning Accessible to Industry Without Data Scientists
Nov 21, 2018 • 13 min
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.…
80: Governance & Policy for Ethical AI
Nov 14, 2018 • 13 min
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…
79: How can deep learning help improve drug discovery?
Nov 7, 2018 • 13 min
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…
78: How can AI be used in Digital Anthropology?
Oct 31, 2018 • 13 min
Learn from Lydia, who works in the intersection of data, culture and health.
77: Regulation and Global Policy in AI
Oct 24, 2018 • 13 min
Jade is a researcher with the Governance of Artificial Intelligence Program (GovAI) at the Future of Humanity Institute (University of Oxford). Her research focuses on the governance of emerging dual-use technologies, with a specific focus on…
76: Text Mining Techniques: FINRA & Fraud Detection
Oct 16, 2018 • 13 min
Mining and analyzing text helps organizations find valuable business insights in corporate data. Too often we find the common text mining techniques are not effective in many real-world corporate settings, in particular when dealing with short snippets,…
43: Data Governance Strategy to Support Machine Learning
Oct 10, 2018 • 13 min
At the AI in Finance Summit in New York earlier this Autumn, Eunice caught up with one of our speakers, Peggy Tsai. Peggy is Vice President in the Analytics & Data department at Morgan Stanley Wealth Management and is responsible for leading the adoption…
42: Direct Uncertainty Prediction for Medical Second Opinions Guest: Maithra Raghu
Oct 3, 2018 • 13 min
On this week’s episode, Maithra, PhD Candidate and research scientist at Google Brain discusses her work in the science of Deep Learning. Eunice from the RE•WORK team chats with Maithra about the applications of her current work and how Google Brain are…
41: AI in the NHS
Sep 26, 2018 • 13 min
On this week’s episode of Women in AI, Sarah shares her most cutting-edge work in AI and healthcare, and delves into their 10-year plan to transform the NHS.
40: Practical Ethics for Artificial Intelligence
Sep 18, 2018 • 13 min
The constant progress of AI leaves society split - some fall into the bracket of excitement, and others are more wary. Whilst these technologies have the potential to transform all industries with a positive effect, we must consider the ramifications if…
39: Algorithmic Underwriting for Life Insurance
Sep 12, 2018 • 13 min
The life insurance industry faces a number of challenges: long-term liabilities that can span decades, outdated legacy infrastructure that limits the potential for innovation, and strict regulations that protect consumers but make quick iteration very…
38: Deep Reinforcement Learning in Complex Environments
Sep 5, 2018 • 13 min
Where am I, and where am I going, and where have I been before? Answering these questions requires cognitive navigation skills—fundamental skills which are employed by every intelligent biological species to find food, evade predators, and return home. On…
37: Behind the Scenes at RE•WORK: Sourcing Global AI Experts
Aug 29, 2018 • 13 min
On this week’s episode of the podcast we catch up with Global Summit Creator, Ellie Lucy, to hear how she plans her agendas, sources global AI experts, and creates sessions focusing on the most cutting edge work in AI.
36: AI at Airbnb: Are We Solving The Right Problem?
Aug 22, 2018 • 13 min
We are living in an exciting time where Machine Learning theory for common applications is maturing, open source tools are plenty, and computation is cheap. While this enables us to move faster than ever, it also makes it easy to throw latest technology…
35: Using AI To Understand How Food is Impacting Your Body
Aug 15, 2018 • 13 min
You only need to open a magazine to be faced with dieting tips and tricks to get in shape, and we’re bombarded with so much contradictory information on how to get the ‘perfect body’ that there’s no wonder it can be overwhelming. Hear from Laura Douglas,…
34: Leveraging ML & Emotion AI to Build Algorithms that Match People to Products According to Their Perceptions
Aug 8, 2018 • 13 min
Clothes shopping is some people’s idea of a relaxing afternoon well spend, whilst for others it’s a bit of a nightmare. On this episode I’m joined by Sowmiya Chocka Naraynan, Co-Founder and CTO of Lily AI, the first product to use deep emotional…
33: Embodied Vision
Aug 1, 2018 • 13 min
Georgia Gkioxari is a research scientist at Facebook AI Research (FAIR). She received a PhD in computer science and electrical engineering from the University of California at Berkeley under the supervision of Jitendra Malik in 2016. Learn about her…
32: Semantic Understanding for Robot Perception
Jul 25, 2018 • 13 min
Advances in robot navigation and fetch and delivery tasks rest to a large extent on robust, efficient and scalable semantic understanding of the surrounding environment. I’m joined today by Jana Kosecka from George Mason University and Google where she’s…
31: Social Responsibility in Human-Robot Interaction
Jul 18, 2018 • 13 min
Having worked for the likes of NASA’s Jet Propulsion Laboratory, founding Zyrobotics and chairing the Robotics PhD program at Georgia Tech, this week’s discussion covers Ayanna Howard’s current and upcoming work.
30: Ethics and AI: the Importance of Collaboration
Jul 11, 2018 • 13 min
Listen to this week’s guest, Fiona McEvoy Tech Ethics Researcher and Founder of YouTheData discuss he importance of ethical considerations in technology.
29: Detecting Mobility Functions in Free Text
Jul 4, 2018 • 13 min
Finding out whether you’re eligible for disability allowance or to be officially registered as having a disability can be a long process, and one that many patients can’t afford to wait for. Recent progressions in NLP have made it possible to speed up…
28: Deep Learning in the Health Record: Discovering Meaning in Clinical Text
Jun 27, 2018 • 13 min
Tasha specialises in biologically inspired neural networks, and puts a special emphasis on NLP using clinical text and heads up the AI team to develop state of the art tech that actually understands a doctors thought process through natural language…
27: Bringing End-To-End Machine Learning Solutions To Healthcare
Jun 20, 2018 • 13 min
Despite the amount of data collected, the healthcare industry as a whole is overwhelmed by the challenges in understanding the information to transform research prototypes into real-world healthcare solutions. IBM Watson Health are working to bring…
26: How Can Industry and Academia Work Together to Create Ethical AI?
Jun 13, 2018 • 13 min
Cansu works on ethics of technology and population-level bioethics with an interest in policy questions. Prior to the AI Ethics Lab, she was a lecturer at the University of Hong Kong, and a researcher at the Harvard Law School. Learn more on this week’s…
25: Using Neural Networks For Forecast Demand At Amazon
Jun 6, 2018 • 13 min
On this week’s episode Sergul, ML Scientist at Amazon discusses her work in neural networks for forecast demand. Hear about how Amazon ensure they have the right quantities of each product to maximise customer experience.
24: Adversarial Learning for Text-to-Image Synthesis
May 30, 2018 • 13 min
Recent approaches in generative adversarial networks (GANs) can automatically synthesize realistic images from descriptive text. Despite the overall fair quality, the generated images often expose visible flaws that lack structural definition for an…
23: Interpreting Machine Learning Models in Finance & Insurance
May 16, 2018 • 13 min
This week we’ll be taking another look at AI in finance, and today’s guest is Soledad Galli from LV. So what comes to mind when you think of AI in Finance? Fraud Detection? Algorithmic Trading? These areas are constantly in the news, and AI has already…
22: The Ethical Implications of AI
May 9, 2018 • 13 min
To coincide with the release of our white paper focusing on ethics and AI, Yasemin joins us to discuss her research covering topics such as bias, privacy and security, and AI for good.
21: Deep Representation Learning for Disparate Data
May 2, 2018 • 13 min
Recently, at the Deep Learning in Finance Summit in London, Huma Lodhi from Direct Line Group joined us to present her work and explained how deep learning based AI models are showing incredible results for complex problems in both banking and insurance.…
20: Using Deep Learning to Identify Human Behaviour with Flickr Photographs
Apr 25, 2018 • 13 min
With faster internet and better connectivity, online information has taken a shift from being text-based to visual media such as photos. I’m going to be chatting with Merve Alanyali, PhD Researcher and Academic Assistant at Warwick Business School and The…
19: Offline Applications of Recommender Systems in Royal Mail
Apr 18, 2018 • 13 min
On this week’s episode of Women in AI Podcast, we’re joined by Kat James, Senior Data Scientist at Royal Mail, who explains how recommender systems help them deliver the 50 million letters across the UK 6 days a week.
18: The Ethical Implications of AI
Apr 11, 2018 • 13 min
How should we consider the societal impact of AI from conception to production? Catherine, Senior Lecturer in Computing and Social Responsibility at De Montfort University shares her work in social responsibilities when creating AI. Learn about bias,…
17: Improving Online Customer Shopping Experience with Computer Vision
Apr 4, 2018 • 13 min
Honglei joins us today to discuss how AI is transforming retail in various areas such as computer vision and pattern recognition for image detection and classification. Honglei Li is currently a senior lecturer in Enterprise Information Systems at…
16: Personalization vs. Personality in Virtual Assistants
Mar 28, 2018 • 13 min
Today, we chat with Ann about her work in NLP and conversational speech recognition as well as her current role as Voice UI/UX Design Leader at Sound United. While doing a PhD in Cognitive Science and Linguistics at UCSD, Ann’s interest in phonetics and…
15: How can AI assistants help patients monitor their health?
Mar 21, 2018 • 13 min
AI assistants are making a huge impact in healthcare, and another really exciting company that have created a virtual assistant is Sense.ly, whose virtual nurse avatar, Molly, helps people engage with their health. Today i’m going to be chatting to their…
14: How can chatbots help overcome the mental health crisis?
Mar 14, 2018 • 13 min
Depression is the leading cause of disability globally, and the cost of mental illness to society has doubled in the last 10 years in every region of the world. Alison Darcy, CEO and Founder of Woebot Labs is joining me today to discuss her work in…
13: The commercialisation of deep learning
Mar 7, 2018 • 13 min
Is Deep Learning just a field of technical research that won’t affect the general public? Absolutely not - we’ve not seen such a powerful and disruptive technology since the inception of the internet itself - deep learning is transforming every industry…
12: How can organisations of all shapes and sizes successfully implement AI?
Feb 28, 2018 • 13 min
Lisha from Amplify Partners joins us today to discuss her work in funding companies who are using machine learning and data to solve problems.
10: How Do Facebook Design AI Algorithms to Power New Experiences?
Feb 14, 2018 • 13 min
Aparna joins us to discuss her work in driving Facebook’s program to build new algorithms for ranking and personalization, and shipping them to power products for over 2 billion people.
09: Deep Learning Models for Personalised Medicine
Feb 7, 2018 • 13 min
Adriana discusses her work in deep learning and how it has achieved remarkable results in fields such as: computer vision, speech recognition and natural language processing as well as transforming medicine.
08: Towards Psychologically Aware AI
Jan 24, 2018 • 13 min
Anne Hsu, Assistant Professor at University of London, joins us to discuss the progression and importance of creating psychologically aware AI. These models can understand users’ motivations and provide empathetic dialogues to help create more meaningful…
07: Applications of Deep Learning: Anomaly Detection, Sentiment Classification, and Over-sampling
Jan 9, 2018 • 13 min
In this episode, Noura discusses her work in unsupervised deep learning as well as NLP and optimisation. As Yann LeCun said recently, unsupervised learning is the ‘holy grail’ of AI research as it allows machines to replicate the way humans learn, and we…
06: How Dialogue Systems Learn
Dec 14, 2017 • 13 min
However useful AI assistants are, they’re still not perfect. They’re designed to serve us through dialogue, but to be effective they must not only understand natural language, but be able to generate sentences that communicate back in a human-like manner.…
05: Sci-fi to AI - Interview with Doina Precup, McGill University
Dec 4, 2017 • 13 min
In this episode, Doina shares her journey to where she is today in AI, as well as discussing her work at McGill University, and the exciting projects she’s involved in at DeepMind Montreal. The landscape of AI in Montreal is rapidly advancing, and we…
04: Lip Syncing From Audio
Nov 9, 2017 • 13 min
This week Ira Kemelmacher, assistant professor at Allen School of Computer Science and Research Scientist at Facebook joins us to discuss her current work in computer vision. If you open up your internet browser and search for a singing cat or a talking…
03: Opinion Mining Using Heterogeneous Online Data
Oct 29, 2017 • 13 min
Understanding public opinion is important in many applications, such as improving company’s product or service, marketing research, recommendation systems, decision and policy making and even predicting results of elections. Social media is a very…
02: Iterative Approach To Improving Sample Generation
Oct 18, 2017 • 13 min
Antonia is a PhD candidate at Imperial College London, in the Bio-Inspired Computer Vision Group. Her research focuses on unsupervised learning and generative models. She received her masters in Biomedical Engineering from Imperial College London with an…
01: NIKITA JOHNSON: THE RE•WORK JOURNEY
Sep 6, 2017 • 13 min
Nikita Johnson, founder and CEO of RE•WORK discusses the motivation behind the Women in AI series. The episode touches on how she came to found the AI events company, and shares some exciting insights of the upcoming Deep Learning Summit and AI Assistants…