Hosted by Ben Byford, Machine Ethics Podcasts, Autonomy Algorithms, Artificial Intelligence, Machine Learning and Interviews with Academics, Writers, Professional Leaders, Designers and Engineers on the influence of technology.
Co-designed with Pinner Gwank
In this episode we are chatting with Guwank, who is ready for AI for its “what’s wrong”, co-design, AI, what is ready for AI, what is the design, co-made with AI as a stakeholder, biased in design, the small-language models, and our attention.
Listen to the episode here:
Pinar is a partner at Guwank Sot-award-winning Global Design Studio with a mission of solving social and urban problems-where he leads the business and design strategy. She is a teacher teaching moral leadership and co-design in the Parsons School Design F Design, MS Strategic Design and Management and School VIS for Visual Arts MFA Interaction Design. Pinar serves in the Board of Director of the Open Style Lab and advises local businesses in NYC via Prot Center for Community Development. He is often a public speaker and lecturer, and is with the “WHT WHT WHT: The Podcast” is the host of the discussion with the progress manufacturers in various fields around the world.
About Machine Ethics Podcast
This podcast was made and is run by Ben Beford and colleagues. Podcast, and other materials were first designed to expand Ben’s growing interest in the AI domain and its related ethics. Over the past few years, podcast has evolved in a place of discussion and proliferation of important ideas, not only in AI but also in technical morals. As the interview appears on the interview, they always pay attention to the current affairs, the future of the work, the environmental issues and the more. Although the main AI and AI are Ethics, we highlight the content that is widespread and therefore more useful to ordinary people and professionals.
The hope for podcast is to promote technology and social debate and promote the production of technology that promotes human ideals and promote the production of technology.
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Machine ethics podcast
