Women in AI

Listen to this week's guest, Fiona McEvoy Tech Ethics Researcher and Founder of YouTheData discuss he importance of ethical considerations in technology.

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 this process by identifying disability mentions in text in both medical specialists’ notes and patients’. Learn from Ayah Zirikly from NIH in this week's episode.

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 understanding.

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 together end-to-end machine learning solutions in healthcare into hospitals and general practice, learn more from Rachita.

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 episode of the podcast.

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.

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 object of interest. Miriam joins us today to discuss some of her work to improve this.

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 undoubtedly made huge contributions to the efficiency and accuracy of many financial practices, but there are also lots of new ways that AI is being implemented to alter traditional methods within retail and commercial banking, insurance and many more industries.

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.

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. When you think about all the data in these industries it makes sense that deep learning could be highly effective here, and today Huma chats with us about learning representations from disparate data, like free-from text and structured categorical and numeric data in insurance.

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 Turing Institute to hear how she’s using these vast amounts of data to quantify human behaviour. Merve’s research focuses on analysing large open data sources with concepts from image processing and machine learning to understand and predict human behaviour on a global scale.

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.

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, ethics & more.

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 Department of Computing & Information Sciences, Northumbria University.

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 NLP led to a dissertation using neural networks to model how speakers of a language form new words via paradigm patterning and token analogy.