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Alexandra Ebert
Responsible AI, synthetic data & privacy expert and Chief Trust Officer
Alexandra Ebert is a prominent expert in Responsible AI, synthetic data, and privacy. She currently serves as a LinkedIn Learning Instructor, a role she has held since June 2023. In this capacity, she teaches courses on synthetic data, focusing on its implications for AI privacy, explainability, and fairness. Her course, "Synthetic Data as the Future of AI Privacy, Explainability, and Fairness," was released on August 31, 2023, and is designed for data scientists and executives seeking to understand the fundamentals of AI-generated synthetic data and its applications in compliance with privacy laws.12
In addition to her role at LinkedIn, Ebert is the Chief Trust Officer at MOSTLY AI, a position she has held since March 2020. She is also the Chair of the IEEE Synthetic Data IC Expert Group and hosts "The Data Democratization Podcast," which explores topics related to data accessibility and ethics in AI.14
Ebert's expertise has earned her recognition, including being named in Forbes' 30 Under 30 list. She is actively involved in discussions around AI, privacy, and data ethics, contributing to various platforms and conferences.34
Highlights
How do you scale 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗔𝗜 within your organization? 🔜 If you're not yet among the 𝟯𝟬,𝟬𝟬𝟬 𝗽𝗲𝗼𝗽𝗹𝗲 joining 𝗥𝗔𝗗𝗔𝗥 - 𝗔𝗜 𝗘𝗱𝗶𝘁𝗶𝗼𝗻, you still have an hour to sign up and not miss the opening (link in the 1st comment).
And if you re-join tomorrow at 𝟵 𝗮𝗺 𝗘𝗧, you'll hear DataCamp's very own Richard Cotton pick Haniyeh's, Esther (Eske)'s & my brain on how to 𝗯𝘂𝗶𝗹𝗱 𝘁𝗿𝘂𝘀𝘁 𝗶𝗻 𝗔𝗜 across your organization and at scale.
Hope to see you there!
#ResponsibleAI #TrustworthyAI #AIGovernance #Datacamp #RADAR24 DataRobot MOSTLY AI #AIAct Adel Nehme Maggie Remynse Jonathan Cornelissen Filip Schouwenaars
I'm thrilled to share that I have been named 𝗙𝗼𝗿𝗯𝗲𝘀 𝟯𝟬 𝗨𝗻𝗱𝗲𝗿 𝟯𝟬 and one of the 𝟭𝟬𝟬 𝗕𝗿𝗶𝗹𝗹𝗶𝗮𝗻𝘁 𝗪𝗼𝗺𝗲𝗻 𝗶𝗻 𝗔𝗜 𝗘𝘁𝗵𝗶𝗰𝘀 𝟮𝟬𝟮𝟰 in recognition of my work in #AIEthics and #SyntheticData. It's heartening to see Forbes shining a spotlight on more and more young people dedicated to building Responsible AI - we need more of their voices at the table! But we cannot stop there. The biggest impact will (and needs to) come from embracing diversity in all its forms and - beyond age 30 - including many more women and many more voices from all those groups that are currently not firmly seated at the table. Remember, the goal is AI that not only benefits a few, but that works for everyone. Thus shoutout to the amazing team of Women in AI Ethics™ who tirelessly highlight brilliant thinkers and doers in this field. I'm deeply honored to be featured in your directory and congratulate all fellow new listmakers. On a more personal note, I want to use this opportunity to express my heartfelt gratitude to all my mentors, friends, and wonderful LinkedIn community, where so many of you continue to support and inspire me. I truly cherish the opportunity to work with many and learn from all of you!
Michael Platzer Dr. Lisa Palmer Sadie St. Lawrence Maria Luciana A. Paul Nemitz Yves-Alexandre de Montjoye Axel Voss Kai Zenner Katharina Koerner Kosima Kovar Dr. Clara Neppel Pedro Pavón 🌸Nancy Nemes Paul Tiwald Steve Weiss Spencer Nicholls Victoria Hordern Maritza Curry Dr. Axel Freiherr von dem Bussche, LL.M. (L.S.E.) Reid Blackman, Ph.D. Andrea Renda Agnes Fekete Dr. Anna Zeiter, LL.M. Valeriya Fadyeyeva Denis Rothman Nicolas Passadelis
Women in Data® #ResponsibleAI #AI #Forbes30under30 MOSTLY AI #WomeninAI #Forbes
