Language: English (mozilla)
Picking up from the key question we investigated last year - “Is it fair to say that traditional VC is fundamentally at odds with a vision of tech that is healthier for all?” - we will continue the discussion with venture capitalists, civil society, and tech visionaries building towards a better future. What can venture capitalists do differently to encourage more responsible company building? What does civil society envision, and what is reasonable to ask of a founder as they focus on building a successful company?
Speakers include:
Aniyia Williams, Omidyar Network
Ik Kanu, Atlantica Ventures
Anne Kim, Secure AI Labs
Shu Dar Yao, Lucid Capitalism (facilitation)
Kasia Odrozek, Mozilla Foundation (facilitation)
Director Insights, Mozilla Foundation
Shu Dar Yao is an angel investor and ESG advisor who teaches financiers about social and climate inequality through her boutique advisory firm Lucid Capitalism.
She supports VCs that seek market-rate returns, and her scope of work has included designing ESG policies and reports, fund structuring, supporting investor relations teams to respond to LP inquiries, and preparing companies for public listing.
Systempreneur, creator, inventor, tech changemaker, and investor. She is a principal on the Responsible Technology team at Omidyar Network, and works to help the tech world live up to its promise of changing lives for the better. Based in San Francisco, California.
Founding Partner at Atlantica Ventures. He served as Principal at Convergence Partners and is responsible for Convergence Partners' operations and investment activities across the West Africa region. Based in Lagos, Nigeria.
Co-founder and CEO of Secure AI Labs, which is based on her graduate work at MIT. She brings a wide range of technical knowledge and business experience to the venture. Anne worked with Professor Alex “Sandy” Pentland, principal investigator of the Human Dynamics Group at the MIT Media Lab, on federated learning and blockchain solutions for clinical trial optimization using Open Algorithms (OPAL). Based in Cambridge, Massachusetts.