Time in GMT
Olivia Gambelin - Ethical Intelligence
Olivia is an AI Ethicist who works to bring ethical analysis into tech development to create human-centric innovation. She believes there is strength in human values that, when applied to artificial intelligence, lead to robust technological solutions we can trust. Olivia holds an MSc in Philosophy from the University of Edinburgh, concentration in AI Ethics with special focus on probability and moral responsibility in autonomous cars, as well as a BA in Philosophy and Entrepreneurship from Baylor University. Currently, Olivia works as the Chief Executive Officer of Ethical Intelligence where she leads a remote team of over thirty experts in the Tech Ethics field. She is also the co-founder of the Beneficial AI Society, sits on the Advisory Board of Tech Scotland Advocates as well as the Founding Editorial Board of Springer Nature's AI and Ethics Journal.
Natalia Burina - Facebook
Rise of Responsible AI
In the last decade AI has become ubiquitous, driving increasingly complex and consequential decisions like credit approvals, college admissions, courtroom bail decisions etc. As AI enables the world to supercharge its products, it opens Pandora's box of potential user harms from discrimination to polarization to violation of user privacy.
The tech industry has a responsibility to build AI in a way that’s fair, transparent, private and robust. Most AI teams understand the importance of building their AI responsibly but don’t know what exactly it entails. Come learn about the latest industry wide developments in ensuring that AI is built responsibly.
Natalia Burina is an AI product leader at Facebook. In 2017 she was recognized by Business Insider as one of “The Most Powerful Female Engineers”. Before Facebook, Natalia was a Director of Product at Salesforce where she led Einstein, the Salesforce AI platform. In 2015 Natalia founded Parable, a creative photo network featured by Apple in #1 spot for photo & video and social networking. Parable was bought by Samsung.
Before Parable, Natalia worked on eBay search and Microsoft’s search engine Bing. Natalia started her career as a software engineer after having completed a Bachelor's degree in Applied and Computational Mathematics at University of Washington.
Elena Kell - H&M Group
Creating a Culture of Responsible AI
The AI development is delivering jaw-dropping news on a regular basis, as both research and adaptation is moving forward, and many industries are facing new unexpected challenges. AI is a powerful tool that allows for many new possibilities, but that we can do something doesn’t mean that we should do it. At H&M Group, responsible AI is on top of the agenda. For us it is not enough to just follow the law anymore and the discussion has shifted from “Are we compliant?” to “Are we doing the right thing?”. At H&M Group we are committed to do AI in a responsible way and this talk will explore what the work with Responsible AI entails and how do we align it to our culture and company strategy in a meaningful way.
Elena Kell is a Responsible AI Specialist at H&M Group and a Women in AI ambassador in Sweden. In her daily work she drives initiatives within ethical and sustainable AI and is strongly committed to working with inclusion, diversity, and gender equality in AI. Elena is a member of Advisory Board for AI Business Consulting Program at Hyper Island and a mentor in Women in AI Ethics global community. She has recently been recognized as one of the TOP-50 Leaders in Research and Equitable Leadership List, released by Remesh.
Torgyn Shaikhina - QuantumBlack
Explainable Machine Learning in Deployment Post COVID-19
As countries around the world begin to slowly emerge from the global pandemic, many hope that the intense disruption facing organisations will diminish. Yet for Machine Learning practitioners, this ‘next normal’ is rife with challenges. The last few months have brought enormous disruption to how people, organisations and technology behave. How can Machine Learning stay resilient and effective when model assumptions are based on behaviours that are no longer prevalent? This talk will explore actions that data practitioners can take to mitigate the impact of COVID-19 on models in development and deployment. It will offer an in-depth perspective on Explainable AI (XAI) techniques as a foundation for more resilient Machine Learning.
Torgyn is a Senior Consultant in Data Science at QuantumBlack, where she is also co-leading R&D on Explainable AI. Torgyn’s area of expertise is algorithmic transparency, sparse data modelling, survival analyses, and data-efficient modelling; she authored multiple peer-reviewed publications on those subjects since 2014. Torgyn has over 7 years of applied Machine Learning experience both in industry and academia. She was an Honorary Researcher at Nuffield Department of Primary Care Health Science of the University of Oxford and is a founder of Next Generation Programmers outreach initiative for rural developing countries. Torgyn holds a PhD in Engineering and BEng in Computer and Information Engineering, both from the University of Warwick, UK.
Exploring Responsible AI - NETWORKING SESSION
Roundtable Discussions allow you to ask the speakers any questions you have about their chosen topic.
Speakers include: * Elena Kell, Responsible AI Specialist at H&M Group * Natalia Burina, AI Product Lead at Facebook *Torgyn Shaikhina, Senior Data Scientist at QuantumBlack
You are free to come in and out of all sessions to ask your questions, share your thoughts and learn more from the speakers and other attendees
PANEL: Diversity in Our Data
Maren Eckhoff - QuantumBlack
Maren Eckhoff is a principal data scientist at QuantumBlack, where she leads the analytics work on client projects, working across industries on predictive, explanatory, and optimization problems. Her role includes defining the analytical approach, developing the code base, building models, and communicating the results. Maren also leads the technical training program for QuantumBlack’s data science team and arranges bespoke trainings, seminars, and conference attendance. Previously, Maren worked in demand forecasting. She holds a PhD in probability theory from the University of Bath.
Linda Briceno - Lloyd's Banking Group
Linda is an experienced UK Data Privacy professional and qualified European lawyer (Bar of Milan). She is currently working as Interim Group Head of Privacy in the Chief Data Office at Lloyds Banking Group, where she is leading on the Group’s data ethics framework. Prior to joining LBG, Linda worked as a Senior Data Privacy Manager – Europe Lead at Barclays. Her past experience includes working at the University of Oxford, the EU Commission, and in a boutique law firm. She also has a D.Phil. in IP Law and international academic experience gained across the UK, Germany and California, Berkeley Law School (scholarship holder).
Maribeth Rauh - DeepMind
The intersection of technology and society has been at the heart of Maribeth’s interests since she entered the field, and she believes it is critical that perspectives from across disciplines and society have a seat at the table as we apply AI ever more widely. Currently, Maribeth is a Research Engineer at DeepMind, where she focuses on applying DeepMind’s research to the real world, via Google products. Beyond work, she co-founded an interdisciplinary AI ethics discussion group. Previously, she worked as a software engineer on Google Maps and received a BS in Computer Science from the University of Notre Dame.
1:1 Speed Networking - NETWORKING SESSION
Join a 1-to-1 Speed Networking session to be randomly paired with others with a similar interest for short video calls to expand your network and connect with others.