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If software is so biased, why do we put up with it? - Episode 40
Manage episode 358693663 series 3277898
Contenido proporcionado por Angelo Fernando. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Angelo Fernando o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
In my 40th podcast, I wanted to try out a new way to record it with a remote guest: Podcastle. It's a web-based platform that records multiple voices - a bit like Zoom. My guest, was Don Wilde, a software engineer and entrepreneur who once worked at Intel. Don helped me with my Robotics team many years ago. His insights into software and technology through the years has been truly inspiring.
In this podcast, we talk about the inherent bias in software that doesn't happen by accident. The discussion is particularly important to us as we unpack that can of worms we call AI, and the data sets that are being used to train the software. Machines do learn from machines, but the 'data' (images, words, values etc) we feed into these machines will influence what we get out of them. The old adage, 'garbage in, garbage out' has become relevant again. Bias in, Bias out, so to speak.
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