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Bias - The Achilles Heel Of AI & Data
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Вміст надано If What If (IWI). Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією If What If (IWI) або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.
Dream it. Imagine it. Create it.
In this podcast, If-What-If approaches and deals with the subject of Bias and how it affects data and AI. This comes after our previous podcast in AI, on Information Theory.
Bias - The Achilles Heel Of AI & Data
- What is information bias?
- How does it occur?
- Is it a genuine problem?
- And if so, is there anything we can do to ensure bias is removed from our data?
- How do we combat information bias?
All these questions and more, are what this podcast on Bias is about.
If What If (IWI) works in Artificial Intelligence and Virtual Reality. We offer consulting, development, seminars, and education in these two areas.
If you are not familiar with these AI subjects, it may help to follow this order in our podcasts:
- Information Theory - An Introduction
- Bias - The Achilles Heel Of Data
- The Frankenstein Hypothesis - AI & The Thought, Intelligence & Consciousness Dilemma
- Chaos, Complexity, Emergence & Singularity - Part 1: Chaos & Complexity
- Chaos, Complexity, Emergence & Singularity - Part 2: Emergence & Singularity
All podcasts are available in all major podcast directories.
The following is where you can see the online activity for If What If:
Almost all If What If (IWI) podcasts on the Metaverse and Virtual Reality, are also in video format and available on our YouTube and Vimeo channels. Our podcasts on AI are not usually available in video format.
You can also find If What If (IWI) on LinkedIn, Facebook, Twitter, and our Newsletter on Substack.
All our videos, podcasts, white papers, and newsletters are free.
We hope you enjoy and subscribe to the various channels. We always appreciate constructive comments and suggestions.
You can find a redacted version of the white paper for this podcast on Medium.
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