128 episodes

Women in AI is a biweekly podcast from RE•WORK, meeting with leading female minds in AI, Deep Learning and Machine Learning. We will speak to CEOs, CTOs, Data Scientists, Engineers, Researchers and Industry Professionals to learn about their cutting edge work and technological advancements, as well as their impact on AI for social good and diversity in the workplace.

Women in AI RE•WORK

    • Technology
    • 5.0 • 17 Ratings

Women in AI is a biweekly podcast from RE•WORK, meeting with leading female minds in AI, Deep Learning and Machine Learning. We will speak to CEOs, CTOs, Data Scientists, Engineers, Researchers and Industry Professionals to learn about their cutting edge work and technological advancements, as well as their impact on AI for social good and diversity in the workplace.

    Episode 197: Education & Creating a Data-Driven Culture

    Episode 197: Education & Creating a Data-Driven Culture

    Our guest this week is Merav Yuravlivker, the Co-Founder and CEO of Data Society, a company passionate about increasing data literacy on a global scale so that organizations and their employees can be smarter about data. Since starting Data Society in 2014, Merav has empowered thousands of professionals with new data science skills, and is dedicated to giving others the tools to approach problems strategically and build a community to answer the question "How can data science change the world?".

    Topics explored include:
    • Breaking down barriers in education
    • Increasing diversity in Data Science
    • A data-driven culture
    • Trends in the world of Data
    • Data literacy

    Links:
    • LinkedIn Profile: https://www.linkedin.com/in/meravyuravlivker/
    • Data Society: https://datasociety.com/

    • 13 min
    Episode 195: The Future of AI & Spoken Word Content

    Episode 195: The Future of AI & Spoken Word Content

    Our guest this week is Mari Joller, Founder and CEO of Snackable AI, a content discovery engine for the audio-first world. Mari has worked in the audio ecosystem for a number of years, including founding her previous startup Scarlet, as well as building and scaling products at Virgin Mobile and Nokia. Audio content is on the rise. What role does artificial intelligence have to play?

    Topics explored include:
    • The shift in NLP and conversational and speech based technologies to becoming more mainstream
    • The process of using AI to add structure and metadata into spoken word content
    • Challenges faced when building the product
    • The future of voice-based technology in the AI space and in the wider business context
    • The changing landscape of how people consume and digest content

    Links:
    • LinkedIn Profile: https://www.linkedin.com/in/marijoller/
    • View more content on AI & Marketing in the video playlist here: https://bit.ly/2TbuAvN

    • 13 min
    Episode 194: Deploying Responsible AI

    Episode 194: Deploying Responsible AI

    This week we're joined by Ritika Gunnar, VP of Data & AI Expert Labs at IBM. Ritika is one of IBM’s leading voices on trustworthy AI. Her team helps organizations embed principles and tools that build trust across the AI lifecycle, from preparing the data and building the model to deploying and managing it in real-time. As AI infiltrates almost every aspect of our lives, the lack of trust has never been a more pressing issue. 

    Topics explored in the conversation include:
    • COVID-19 and a shift in the importance of trust;
    • The challenge of trust from a technology, education, management and culture perspective;
    • Ensuring explainable plus trustworthy AI;
    • The challenges of deploying models both responsibly and at scale;
    • Starting a career in AI;
    • COVID-19 and the impact of women in AI

    Links:
    • LinkedIn Profile: https://www.linkedin.com/in/ritika-gunnar-4b4542/
    • Upcoming events on Responsible AI & Trust: https://www.re-work.co/events/topics/ai-for-good

    • 13 min
    Episode 193: In Search of Trustworthy & Ethical AI

    Episode 193: In Search of Trustworthy & Ethical AI

    This week's guest is Rachel Alexander, CEO and founder of Omina Technologies, an AI company dedicated to ethical AI solutions. Rachel is responsible for the technological vision and strategy of Omina Technologies and recently won the award for ‘Artificial Intelligence Person of the Year’ in Belgium, where she has lived and worked for the past twenty years, devoting herself to helping companies navigate new technological advances and incorporating them into their strategy. 

    Topics explored in the conversation include:
    • What does ethical and trustworthy AI mean to you?
    • Why should companies should invest in ethical and trustworthy AI?
    • How can we ensure AI is accessible to all?
    • What is the biggest challenge faced by organisations regarding explainable AI?
    • How do different industries differ in working towards explainable AI?
    • Has COVID had an impact on accelerating or hindering ethical and trustworthy AI?

    Links:
    • LinkedIn profile: https://www.linkedin.com/in/rachelalexander777/
    • Omina Technologies: http://ominatechnologies.com/

    • View upcoming events on Ethics here.

    • 13 min
    Episode 192: Using Machine Learning to Combat Toxicity Online: Jigsaw’s Perspective API

    Episode 192: Using Machine Learning to Combat Toxicity Online: Jigsaw’s Perspective API

    This episode features Lucy Vasserman, Staff Software Engineer at Google. Lucy leads the Conversation AI team within Google's Jigsaw, which studies how computers can learn to understand the nuances and context of abusive language at scale. More specifically, Lucy works on machine learning research to improve core models, which power the Perspective API, with a focus on combating algorithmic bias. She also collaborates with internal and external users to ensure the Conversation AI models capture their needs.

    Topics explored include:
    • Computer Science Careers
    • Conversational AI
    • Algorithmic Bias
    • Ethical AI
    • Fair & Safe Technology
    • Large Language Models

    Links:
    • LinkedIn profile
    • Perspective API:https://www.perspectiveapi.com/
    • The Current: https://jigsaw.google.com/the-current/toxicity/

    • View upcoming events here

    • 13 min
    Episode 191: Social Reinforcement Learning

    Episode 191: Social Reinforcement Learning

    This episode features Natasha Jaques, Research Scientist at Google. Natasha Jaques recently finished her PhD at MIT, which focused on improving the social and affective intelligence of deep learning and deep reinforcement learning. She is now a Research Scientist at Google Brain and Berkeley working with Sergey Levine and Doug Eck.

    Topics explored include:
    • Social Reinforcement Learning
    • Multi-Agent RL Algorithms
    • PAIRED
    • Deep Reinforcement Learning
    • Applications of Reinforcement Learning
    • The future of Reinforcement Learning
    • Computer Science Careers

    View the video edition here!

    Links:
    • LinkedIn profile: https://www.linkedin.com/in/natashajaques
    • Twitter profile: https://twitter.com/natashajaques
    • Video edition: https://youtu.be/_gLU5Uw4TWU

    • View upcoming events here: https://www.re-work.co/

    • 13 min

Customer Reviews

5.0 out of 5
17 Ratings

17 Ratings

Wohzay ,

Amazing variety of guests & topics

As well as having a good level of technical episodes, it's really great to explore some of the other important topics in AI like ethics, social positive impact and security. So nice for women to have a platform to be heard in the industry. Deffo worth subscribing.

Sofie Hazel ,

Women getting the recognition they deserve!

Love this podcast, it’s great to see the talented women in machine learning and other AI fields being recognised for their hard work and innovation! Women empowering women and doing a really great job 👍🏼 thanks RE•WORK looking forward to the next one!

Jasudo ,

Great for AI DL and MI chat with experts

Really refreshing to give women a platform in a field where a lot of the experts we hear from are male - very inspiring. And more importantly, the talks are great - lots of interesting thought provoking info. I'll be subscribing!

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