Artificial intelligence is already transforming our lives in many ways, and it has the potential to do so much more. But it seems like news headlines only focus on potential job loss and the end of the world than increased productivity and social benefits. Is this because our mental imagery of AI is so influenced by dystopian sci-fi novels and movies like Terminator? Or have policymakers not done enough to communicate honestly about the disruptions we face with AI? What can listeners of this podcast reasonably expect to see in the coming years? Is there even a single definition of AI that everyone can agree on? Evan is joined by Elizabeth Hudson, Senior Research Scientist of Machine Learning at Symbotic, an industrial robotics company, and Austin Carson, Executive Director of TechFreedom.
#284: The Revolt of the Public
#283: Privacy and Surveillance in China
#282: Tech and the Biden Administration
#281: Should companies be allowed to acquire their start-up competitors?
#280: Section 230, Antitrust, and Consumer Protection
#279: Revising Section 230 Will Silence Marginalized Voices
#278: Privacy by Design
#277: Can the DOJ Break up Google?
#276: Nationalizing 5G?!
#275: The Future of Innovation
#274: Can Platforms Stop the Spread of Misinformation?
#273: [The] Breakup Speech: Antitrust and Free Speech
#272: Transparency, Tech, and Surveillance with WashingTech
#271: Pay Black Women, Pinterest
#270: Cryptocurrency and Florida’s Tech Policy
#269: Telehealth in the Age of COVID-19 – What’s Next?
#268: 5G Innovation w/ Samsung
#267: 5G and the Spectrum Wars
#266: The Economics of Tech Policy w/ TPI
#265: Preventing Algorithmic Discrimination
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