In this episode, we explore “deepfakes” and the head-spinning breakthroughs in AI-generated synthetic media. Does the ability to digitally doppelgänger anyone doing or saying anything preface the end of trust, a revolution in reputational risk, or just the next era of entertainment? Seeing is no longer believing, so listen up as we peer deep to parse:
- What are deepfakes and why does AI-generated media differ from traditional CGI (computer graphic imagery) and Hollywood special effects?
- What do porn, meme culture, diplomacy, and the biometric fraud have in common, and why are deepfakes the through-line?
- Why fighting tech with tech isn’t enough, and the multi-pronged approach needed to drive digital literacy and safeguard against the “Liar’s Dividend”.
Did you miss last week’s Hype Hazard? Have no fear (or FOMO), the recording is available here:
Noom & Personalized Weight Loss.
Ratings Time: At the end of each episode, we rate this breakout technology on our highly scientific scale to help innovators put this into context. Tune in to hear our review, and tell us what you think!
- Trash: Garbage abound in tech-land, so buyer beware of rubbish in disguise!
- Flash: A flash in the pan! Hot now, but fleeting once it exhausts early adopter segments
- Cash: Money-maker with scalable potential, but ultimately nothing innovative here
- Splash: Fundamentally innovative, and full of transformative potential to fix a real problem
Credits: Hype Hazard is designed, developed, and recorded by Jaimy Szymanski and Jessica Groopman. This episode was edited Randall Ward and our theme music was composed by Adam Roszkiewicz.