I'm so excited to know that, six months after its publication, our article on the impacts of generative AI on socio-economic inequalities is still one of the most-read articles of the week in
@PNASNexus.
Our point is that generative AI will be like an earthquake, it will dramatically reshape the socio-economic landscape: some inequalities will diminish, while others will increase.
Unlike an earthquake, however, we are not passive observers. We have the power to influence which inequalities are most affected and in what direction.
We conclude proposing six potential policy interventions to reduce inequality and promote shared prosperity.
This article comes from an interdisciplinary collaboration among leading experts in the corresponding fields, including two recent Nobel laureates. It's been a true privilege for me to have the opportunity to coordinate this cooperative work.
Thank you once again for your contributions!
@AustinLentsch,
@DAcemogluMIT,
@SelinAkgun9, Aisel Akhmedova,
@EBilancini, @JFBonnefon, @BehSnaps,
@lu_butera,
@Karen_Douglas,
@JimACEverett, Gerd Gigerenzer,
@chrisgreenhow,
@Laparoscopes,
@PCASOLab,
@jholtlunstad,
@jetten_j,
@baselinescene,
@werkunz,
@longoni_chiara, Pete Lunn,
@simone_natale, Stefanie Paluch,
@iyadrahwan
Neil Selwyn, Vivek Singh,
@ssuri, Jennifer Sutcliffe, @JoePTomlinson,
@Sander_vdLinden,
@PaulvanLange,
@FriederikeWall,
@jayvanbavel, Riccardo Viale
One of the trending PNAS Nexus articles in the last week is “The impact of generative artificial intelligence on socioeconomic inequalities and policy making.” Read the article here:
ow.ly/4A3a50UFsLc
Submit your own research, visit PNAS Nexus:
ow.ly/4ozI50UFsWT.