SHIFT
Jennifer StrongHosted by Jennifer Strong, SHIFT is a weekly podcast taking a closer look at the far-reaching impact of automation on our daily lives.
From policy to process, we seek to understand how lives are changing alongside rapid breakthroughs in frontier technologies and artificial intelligence. Join us as we navigate the challenges and opportunities presented by this reshaped reality.
| Publishes | Weekly | Episodes | 125 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | BusinessTechnology | |||
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Latest Episodes
What happens when machines start telling us what we want to hear—and when users start depending on them for emotional connection? Join us for a live conversation about the psychology and liability of chatbots.
We Meet:
Meg Marco is Harvard Berkma... more
Join us for a deep dive on the relationship between trust and artificial intelligence as we unpack a flash poll from Edelman, the world's largest PR firm.
We Meet:
Margot Edelman, Global Technology Practice Lead for Edelman
Credits:
This episod... more
How do we move quantum computing from scientific milestone to measurable business value?
It’s not an easy question to answer.
When I first started covering this tech even the physicists charged with building such machines doubted the feasibility ... more
For as far as we’ve come with AI and robotics, there’s still a huge gap when it comes to combining the two. AI excels in the digital space, and in the physical world, robots are often pre-programmed. That’s where physical AI comes in. It’s critical f... more
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Reviews
- "Exceptional AI podcast
"Exceptional AI podcast—insightful discussions, diverse topics, and clear explanations. A must-listen for anyone interested in cutting-edge technology."
Apple Podcasts5Sherry J. Pierce
United States2 years ago - An engaging AI podcast
"An engaging AI podcast! Insightful discussions, diverse topics, and clear explanations make it a must-listen. Each episode offers valuable perspectives and keeps me coming back for more."
Apple Podcasts5Nelson P. OcasioUnited States2 years ago - "So impressed. “
Everyone is human…everyone deserves to be heard.” The world needs more of this kind of show!"
Apple Podcasts5Ronald M. HensonUnited States2 years ago - "Best new podcast I discovered
Really enjoy the unique stories and perspectives - perfect listening length."
Apple Podcasts5Kit S. HammUnited States2 years ago - Love your podcast Jennifer!
Thanks for so many insightful episodes!
Apple Podcasts5fbitdv
Spain2 years ago
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Chart Rankings
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Apple Podcasts | #30 |  Mexico/Technology |
Talking Points
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Frequently Asked Questions About SHIFT
What is SHIFT about and what kind of topics does it cover?
Focusing on the transformative effects of automation and artificial intelligence, this podcast examines how these technologies are reshaping our daily lives, policies, and business processes. Through engaging discussions with experts from various fields, the series highlights both the challenges and opportunities posed by rapid advancements in technology. Notable themes include the intricate relationship between trust and innovation in AI, the psychological impacts of chatbots, and the integration of AI with healthcare and legal industries, among others. The format notably includes insights from leading figures in technology and public relations, making it a valuable resource for those interested in the future of work and technology's socie... more
Where can I find podcast stats for SHIFT?
Rephonic provides a wide range of podcast stats for SHIFT. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to SHIFT and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
How many listeners does SHIFT get?
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What are the audience demographics for SHIFT?
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How many subscribers and views does SHIFT have?
To see how many followers or subscribers SHIFT has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
Which podcasts are similar to SHIFT?
These podcasts share a similar audience with SHIFT:
1. MIT Technology Review Narrated
2. This Day in AI Podcast
3. Click Here
4. The AI Daily Brief: Artificial Intelligence News and Analysis
5. WSJ Tech News Briefing
How many episodes of SHIFT are there?
SHIFT launched 2 years ago and published 125 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact SHIFT?
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Where can I see ratings and reviews for SHIFT?
Rephonic pulls ratings and reviews for SHIFT from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
How do I access podcast episode transcripts for SHIFT?
Rephonic provides full transcripts for episodes of SHIFT. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.
What guests have appeared on SHIFT?
Recent guests on SHIFT include:
1. Margot Edelman
2. Daniela Rus
3. Vamsi Boppana
4. Yasmin Green
5. Jennifer Ewbank
6. Anna Topol
7. Swami Sivasubramanian
8. Amar Kendale
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.