Should you’ve been listening to about Trump’s AI Motion Plan and questioning who it truly advantages, you’re not alone.
On as we speak’s episode of Fairness, Rebecca Bellan caught up with Amba Kak and Dr. Sarah Myers West from the AI Now Institute, a suppose tank centered on the social implications of AI and the consolidation of energy within the tech trade. Their current report, dubbed Synthetic Energy, lays out the political economic system driving as we speak’s AI frenzy and what’s at stake for everybody else.
Synthetic Energy pushes again on what AI Now calls the “too massive to fail” fantasy, arguing that AI corporations are pouring billions into huge compute infrastructure and foundational fashions, usually with authorities help, regardless of shaky enterprise fashions and restricted public accountability.
That push to scale and attain AGI, or synthetic common intelligence, earlier than 2030 has real-world penalties that don’t disappear with the guarantees that AI will sometime clear up humanity’s hardest issues. Within the brief time period, societies are already going through environmental degradation, discriminatory algorithms, dismantled democratic establishments, lack of information privateness, and nationwide safety threat.
Kak and West say these outcomes are the results of a sequence of selections, not an unpreventable actuality.
“The long run we’re being bought will not be inevitable,” Kak defined.
Take heed to the total episode to listen to about:
- AI’s rising consolidation and the way it mirrors Huge Tech’s energy dynamics.
- Why Silicon Valley is cheering on Trump’s AI agenda, and the challenges of regulating AI.
- The disconnect between AGI hype and present, real-world harms.
- What a democratic, simply, and accountable AI future might appear to be.
Fairness can be again Friday with our weekly information roundup, so keep tuned.
Fairness is iinfoai’s flagship podcast, produced by Theresa Loconsolo, and posts each Wednesday and Friday. Subscribe to us on Apple Podcasts, Overcast, Spotify and all of the casts. You can also comply with Fairness on X and Threads, at @EquityPod.
