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Join Ads Marketplace to earn through podcast sponsorships.
Manage your ads with dynamic ad insertion capability.
Monetize with Apple Podcasts Subscriptions via Podbean.
Earn rewards and recurring income from Fan Club membership.
Get the answers and support you need.
Resources and guides to launch, grow, and monetize podcast.
Stay updated with the latest podcasting tips and trends.
Check out our newest and recently released features!
Podcast interviews, best practices, and helpful tips.
The step-by-step guide to start your own podcast.
Create the best live podcast and engage your audience.
Tips on making the decision to monetize your podcast.
The best ways to get more eyes and ears on your podcast.
Everything you need to know about podcast advertising.
The ultimate guide to recording a podcast on your phone.
Steps to set up and use group recording in the Podbean app.
In part two of our insightful artificial intelligence series, partner Guy Brenner, who leads Proskauer’s D.C. Labor & Employment practice and is co-head of the Counseling, Training & Pay Equity Group, and Jonathan Slowik, senior counsel, Labor & Employment, in the firm’s Los Angeles office, explore the critical issue of AI training data in employment decisions. We discuss how issues with training data can create risk with respect to employment discrimination laws, even when AI systems are not explicitly programmed to consider protected characteristics. We also highlight the potential for inaccuracies in AI models due to insufficient or unrepresentative training data. So be sure to tune in as the legal implications of these issues can be of importance to employers when understanding potential biases in AI systems.
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