'AI Ethics Diaries - Keeping it Real' by Women in AI Ethics™ community is a continuation of our quest for a more equitable and ethical tech future. Join us for no-spin, no-shill honest conversations with women doing the hard work and driving real change in this space. Learn about their lived experiences, career journeys, get insights on their work, and see first hand how they are reshaping the future of AI.
Do you have the entrepreneurial spirit? This inspiring session is full of insights on the start up journey from founders building the future of responsible AI and VCs funding an ethical AI future. Get tips on fundraising for your vision and get a close look at the challenges specific to underrepresented founders. Also, learn what it’s like to work for a startup and the opportunities in this space.
Speakers: Hessie Jones (https://twitter.com/hessiejones?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor), Jennifer Jordan (https://www.linkedin.com/in/jajordan13), Patricia Thaine (https://twitter.com/privatenlp)
26 Jul 2022
Landing Your First AI/ML Role
Ready for a career in Responsible AI/ML? Join this session to learn about the diverse jobs available in corporate and academia, get tips from experienced recruiters on how to land your dream job, pivot from your current non-AI role, transition from academia to corporate sector, and how to assess your potential work environment.
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Ebitie Amughan is the Senior Recruiting Operations Program Manager for Inclusive Hiring at Pinterest. She brings her unique talent solutions to business partners and hiring teams through her creative and strategic workflows. With her recruiting expertise, she has managed and launched programs and processes that optimize and simplify the hiring process to ensure the organizations meet their goals and plan. Prior to her promotion to a Senior Program Manager role, she was a Technical Recruiter for Machine Learning and Artificial Intelligence at Pinterest in charge of recruiting senior engineers in building a discovery engine. Ebitie’s deep knowledge of recruiting has led her to work with distinguished companies like Microsoft and the National Board of Advisors for the Eller College of Management at the University of Arizona as a newly inducted board member.
Jessica Yrani is a lead technical recruiter focusing on Analytics and ML hiring at Roblox. Before joining Roblox, she was a lead recruiter at Pinterest, partnering with engineering leadership to build Machine Learning teams within the Core and Monetization organization. Throughout Jessica’s decade of experience, she has partnered with technical teams to create inclusive hiring strategies.
Tulsi Parida is the Global Director of Government Data Solutions at Visa. Her work is at the intersection of payments data and government and she develops innovative data solutions for governments looking to use spend insights to inform their policy-making and decisions. She brings a decade of experience at the intersection of tech, society, and business, with a commitment to reducing digital inequality and promoting responsible and inclusive technology. Prior to Visa, she led teams at various startups working to bridge digital divides in literacy education both in the US and in India. Tulsi holds a BSc in Education & Social Policy, Economics from Northwestern University and a dual degree MSc /MBA in Tech & Society from the University of Oxford. Recently, Tulsi has won the global 100 Brilliant Women in AI Ethics and Tech Women 100 awards in the UK.
18 Jul 2022
Here's the Next Hot Opportunity in Responsible AI
Join Jodi Masters-Gonzales (https://twitter.com/SaqaiFuture) in this session to listen, consider, and thoughtfully discuss the global economic opportunity for practitioners of Independent Audit of AI Systems (#IAAIS) (https://forhumanity.center/independent-audit-of-ai-systems/), the wide range of opportunities — from the highly technical to non-technical — the public good organizations blazing the path of gold-standard certification, how to get involved — now, why regulators are adopting a systems-thinking approach to digital policy for AI risk and algorithmic bias mitigation, and the many opportunities for first-movers to contribute to an ecosystem that ends AI harms.
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