Machine learning on the job

Machination Log

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محتوای ارائه شده توسط David Paddock. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط David Paddock یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

All About Change

1
Tiffany Yu — Smashing Stereotypes and Building a Disability-Inclusive World 30:23

16 روز پیش30:23

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دوست داشته شد

30:23

Tiffany Yu is the CEO & Founder of Diversability, an award-winning social enterprise to elevate disability pride; the Founder of the Awesome Foundation Disability Chapter, a monthly micro-grant that has awarded $92.5k to 93 disability projects in 11 countries; and the author of The Anti-Ableist Manifesto: Smashing Stereotypes, Forging Change, and Building a Disability-Inclusive World. As a person with visible and invisible disabilities stemming from a car crash, Tiffany has built a career on disability solidarity. Now that she has found success, she works to expand a network of people with disabilities and their allies to decrease stigmas around disability and create opportunities for disabled people in America. Episode Chapters 0:00 Intro 1:26 When do we choose to share our disability stories? 4:12 Jay’s disability story 8:35 Visible and invisible disabilities 13:10 What does an ally to the disability community look like? 16:34 NoBodyIsDisposable and 14(c) 21:26 How does Tiffany’s investment banking background shape her advocacy? 27:47 Goodbye and outro For video episodes, watch on www.youtube.com/@therudermanfamilyfoundation Stay in touch: X: @JayRuderman | @RudermanFdn LinkedIn: Jay Ruderman | Ruderman Family Foundation Instagram: All About Change Podcast | Ruderman Family Foundation To learn more about the podcast, visit https://allaboutchangepodcast.com/…

M4A•خانه قسمت

Go to http://machinationlog.com/podcast/2022-10-24-machine-learning-on-the-job for full episode notes

0:00 - What do we want out of a job?

6:20 - What’s this AI all about and is it bad?

32:00 - So what?

52:50 - Technological limitations, and how this is all YET AGAIN nerds’ faults.

1:06:10 - Filling the void with doing something about all this

1:40:50 - Broader personal teleology

270 قسمت

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