William Softky is a biophysicist who was among the first neuroscientists to understand micro-timing and also among the first technologists to build that understanding into algorithms. His name is on 10 patents, thousands have cited his scientific work, and two of the companies he inspired were acquired for $160 million total.   Softky holds a Ph.D. in Physics from Caltech, where he discovered a still-unsolved paradox about the firing patterns of brain neurons. A theoretical biophysicist — the son of two physicists — Softky served in the Peace Corps in Cameroon before attending grad school.

His subsequent career in Silicon Valley (including biophysics, human-computer interaction, and signal processing) has given him a unique perspective on the software and hardware architecture of human brains, including new insights about our deepest (yet most deeply-hidden) high-bandwidth method of somatic communication.

Real-time video and sound evidence of toxic LEDs: https://www.youtube.com/watch?v=9IOSwlQxDxE

A tidy explanation of brains and fixing them which doesn't depend on neurons, memory, or symbols ("Vibration all the Way Down"): https://www.fairobserver.com/business/technology/brains-explained-vibration-all-the-way-down/

Rupa Singh is the author of the Book "AI Ethics with a Buddhist Perspective". She is the founder of AI-Beehive, an online learning platform providing courses and certifications in Machine Learning, Deep Learning and more. 

In this episode, Rupa discusses the role of AI in various geographical and cultural contexts through her experiences as an AI-ethicist, writer, critical design thinker, machine learning and deep learning specialist and coach.

Check out AI-Beehive here: https://ai-beehive.com

Tomasz is a research scientist at the University of Cambridge, working at the intersection of design theory, technology ethics and critical artificial intelligence studies.

In this episode, he discusses his contribution to various research projects including the Global AI Narratives Project at CFI, the Computational Propaganda Project at the Oxford Internet Institute, and the Ethics of Digitalization research sprint hosted by the Berkman Klein Center for Internet and Society at Harvard.

Belona Sonna is an artificial intelligence (AI) ethics researcher. She serves as policy manager of ethics and gender issues at AfroLeadership, where she advocates for the insertion of ethical technological solutions in Africa in general with a strong interest in women that are more often marginalised when it comes to technology.

She is a PhD candidate at the Humanizing Machine Intelligence group at Australia National University. She is involved in projects and platforms that are committed to AI education and research in Cameroon and abroad including KmerAI, Women in Machine Learning and Data Science Yaounde, Z-Inspection and Deep Decision group.

Check out the Responsible AI panel here: https://sloanreview.mit.edu/big-ideas/responsible-ai/ .

Check out Belona's initiative to make artificial intelligence accessible to all (especially rural youth), BEL's AI (Be Educated and Learn Skills in AI) Initiative here: https://www.linkedin.com/company/bel-s-ai-initiative/

Buse Çetin is an AI policy and ethics researcher and consultant. Her work revolves around ethics, impact, and governance of AI systems. She combines her lived experience with her interest in postcolonial studies, intersectional feminism and science and technology studies (STS) to develop critical thinking about AI technologies and narratives around it.

Follow Buse on Linkedin: https://www.linkedin.com/in/busecetin/

Check out her initiative, Dreaming Beyond AI: https://dreamingbeyond.ai/en

Ravit is a domain expert in AI ethics, specializing in helping startups and investors develop AI ethics strategies. With a PhD in philosophy from UC Berkeley, she applies her expertise in the philosophy of machine learning to build AI ethics strategies for startups, integrate AI Ethics into ESG questionnaires, develop an AI ethics toolkit for investors, focused on guiding VCs in incorporating AI ethics in their work and conducting research on how to implement AI ethics theories and principles.

In this episode, we discuss the social and political aspects of AI, the theory of longtermism and how any hopes of a democratic tech society are rooted in norm-conforming social deliberation.

Connect with Ravit on Linkedin: https://www.linkedin.com/in/ravit-dotan/

Jibu Elias is the Content and Research Lead at INDIAai, currently lending his wide knowledge and keen insight into artificial intelligence for building a unified AI ecosystem in India. He is the founding editorial board member of Springer’s AI and Ethics journal. He is an alumnus of the London School of Economics (LSE), where he studied International Relations, specialising in India-China relations.

The national AI portal, INDIAai is designed to act as the central point to create and nurture a unified AI ecosystem in the country, as well to drive excellence and leadership in India's knowledge, creation, and use of artificial intelligence to foster economic growth and improve the lives of Indians. 

Head over to indiaai.gov.in for some fascinating research reports and ethical AI edification today!

For more information or to volunteer, check out linktr.ee/tfioa or mail us at tfioa@protonmail.com.