<description>&lt;p&gt;Peggy Smedley and Bryan Reimer, research scientist, MIT Center for Transportation and Logistics, talk about some of the tough AI (artificial intelligence) questions: Who pays for its impact? How will we tax it? Who is liable when it fails? Who gets hit hardest in the workforce? What happens when innovation outruns governance? How do we make AI really useful? He says we forget that AI today may be as much of a transformation in society as electricity was many years ago.&lt;/p&gt; &lt;p&gt;They also discuss:&lt;/p&gt; &lt;p&gt;· What public officials need to be debating—and if taxes need to shift.&lt;/p&gt; &lt;p&gt;· What obligations AI developers must ensure against systemic failure or success.&lt;/p&gt; &lt;p&gt;· How AI is changing the workforce and how workers can prepare for it.&lt;/p&gt; &lt;p&gt;&lt;a href="https://ctl.mit.edu"&gt;https://ctl.mit.edu&lt;/a&gt;&lt;/p&gt;</description>

Peggy Smedley Show

Peggy Smedley

When Innovation Outpaces Governance

MAY 27, 202634 MIN
Peggy Smedley Show

When Innovation Outpaces Governance

MAY 27, 202634 MIN

Description

Peggy Smedley and Bryan Reimer, research scientist, MIT Center for Transportation and Logistics, talk about some of the tough AI (artificial intelligence) questions: Who pays for its impact? How will we tax it? Who is liable when it fails? Who gets hit hardest in the workforce? What happens when innovation outruns governance? How do we make AI really useful? He says we forget that AI today may be as much of a transformation in society as electricity was many years ago. They also discuss: · What public officials need to be debating—and if taxes need to shift. · What obligations AI developers must ensure against systemic failure or success. · How AI is changing the workforce and how workers can prepare for it. https://ctl.mit.edu