We’ve rebranded our podcast to “The Good AI Podcast”! These days AI has infused everything we do, but for some like myself and many of the founders and leaders we have chatted with on this podcast, who have been in the space for over 10 years, we know that AI has been powering our daily lives for ages (from search, to shopping and many more!). In this post, we share why we did this, what this means and share where you can find us: (hint: it’s really easy — we’re @thegoodaipod on all platforms).
What’s Wrong with “Doing Well by Doing Good”?
NOTHING! We realized that the guests on our show still embody that ethos of Doing Well and Doing Good - i.e. Profitability with a Purpose. However, one missing piece in our exploration has been the technical risks that could be perceived as not “Doing Good”. Business dictates profitability - i.e. Doing Well, but Doing Good has been defined as helping those that are most vulnerable via a product or service, without consideration of technological risks that also can come with certain technologies — i.e. a financial product that collects personal information to provide a way for people to access capital who otherwise couldn’t, can certainly be perceived as good, but not considering the risks of holding personal information which could leak or bias downstream Machine Learning models does us a disservice.
In this new rebrand we hope to bridge this gap.
Why AI and not another Technology?
Apart from AI being in the news, there are real considerations of this technology that we otherwise might not have thought about - data leakage, bias, security and detrimental use cases (i.e. misinformation or hallucination) which are critical to the mission of doing good - especially as the companies inevitably grow their influence.
What does this mean for the Podcast?
We’ll keep highlighting leaders of companies that are Doing Well by Doing Good and exploring the business and mission aspects, but will make a few changes:
Focus on AI companies: that is, companies leveraging Machine Learning in production who have insight into downstream implications of these technologies.
Highlight technical leaders: CTOs, Directors of Engineering, Heads of ML, AI Researchers and others who have foresight into what risks may come in the future and how to mitigate them in addition to continuing to talk to founders and investors, technical and non-technical. If you know someone who might be a good guest please respond to this email :)
Video Episodes on YouTube: “The Good AI Podcast” episodes will now be posted to YouTube so we can add any additional conversations or content throughout the discussion (websites, charts, etc.).
Stay Tuned for More!!
We have some more episodes coming up so stay tuned for more of “The Good AI Podcast”!!! If you’re already following us, you’ll find that our pages have changed with the following handle @thegoodaipod across all platforms! We’ve collated our links at thegoodaipod.com.
Multimedia
Podcast: https://podcasters.spotify.com/pod/show/thegoodaipod
Instagram: https://www.instagram.com/thegoodaipod/
(new) Youtube: https://www.youtube.com/@thegoodaipod
(new) TikTok: https://www.tiktok.com/@thegoodaipod
Writing
Substack: https://thegoodaipod.substack.com/
Medium: https://medium.com/thegoodaipod
Twitter: https://twitter.com/thegoodaipod
You can also now find and subscribe on your favorite Podcast listening platform by searching “The Good AI Podcast”.
Call For Guests
We are looking for CTOs, Directors of Engineering, Heads of ML, AI Researchers and other Machine Learning professionals to join the podcast. Please respond to this email if you know someone who might be a good guest :)
Enjoy! Thank you!
✌🏾Anand