<html dir="ltr"><head></head><body style="text-align:left; direction:ltr;" bgcolor="#ffffff" text="#2e3436" link="#2a76c6" vlink="#2e3436"><div>Welcome, Sarah! Thanks for sharing this great information. </div><div>Camille</div><div><br></div><div>On Thu, 2018-12-06 at 11:38 -0500, Sarah Myers West wrote:</div><blockquote type="cite" style="margin:0 0 0 .8ex; border-left:2px #729fcf solid;padding-left:1ex"><div dir="ltr">Hi all,<div><br></div><div>I only recently joined this list and so haven't properly introduced myself yet, but wanted to share a report that my research institute released today - among other things, we address issues relating to the infrastructure, labor and maintenance of AI systems. I hope it's of interest!</div><div><br></div><div>All the best,</div><div><br></div><div>Sarah</div><div><div>-- <br><div dir="ltr" class="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><br></div><div><b>Dr. Sarah Myers West</b></div><div>Postdoctoral Researcher</div><div>AI Now Institute</div><div>New York University</div><div><a href="mailto:sarah@ainowinstitute.org" target="_blank">sarah@ainowinstitute.org</a> | @sarahbmyers</div><div><br></div><div><br></div></div></div></div></div></div><div><br></div><div><div style="font-family:arial,sans-serif">Today the AI Now Institute publishes our <b><a href="https://ainowinstitute.org/AI_Now_2018_Report.html" target="_blank">third annual report</a></b> on the state of AI in 2018, including 10 recommendations for governments, researchers, and industry practitioners. </div><ul style="font-family:arial,sans-serif"><li style="margin-left:15px"><a href="https://ainowinstitute.org/AI_Now_2018_Report.html" target="_blank">Read the Report (PDF)</a></li><li style="margin-left:15px"><a href="https://medium.com/@AINowInstitute/after-a-year-of-tech-scandals-our-10-recommendations-for-ai-95b3b2c5e5" target="_blank">See the Recommendations</a> </li></ul><div style="font-family:arial,sans-serif">It has been a <a href="https://medium.com/@AINowInstitute/ai-in-2018-a-year-in-review-8b161ead2b4e" target="_blank">dramatic year in AI</a>. From Facebook potentially inciting ethnic cleansing in Myanmar, to Cambridge Analytica seeking to manipulate elections, to Google building a secret censored search engine for the Chinese, to anger over Microsoft contracts with ICE, to multiple worker uprisings over conditions Amazon’s algorithmically managed warehouses – the headlines haven’t stopped. And these are just a few examples among hundreds. </div><div style="font-family:arial,sans-serif"><br></div><div style="font-family:arial,sans-serif">At the core of these cascading AI scandals are questions of accountability: who is responsible when AI systems harm us? How do we understand these harms, and how do we remedy them? Where are the points of intervention, and what additional research and regulation is needed to ensure those interventions are effective? Currently there are few answers to these questions, and existing regulatory frameworks fall well short of what’s needed. As the pervasiveness, complexity, and scale of these systems grow, this lack of meaningful accountability and oversight – including basic safeguards of responsibility, liability, and due process – is an increasingly urgent concern. </div><div style="font-family:arial,sans-serif"><br></div><div style="font-family:arial,sans-serif">Building on our <a href="https://ainowinstitute.org/AI_Now_2016_Report.html" target="_blank">2016</a> and <a href="https://ainowinstitute.org/AI_Now_2017_Report.html" target="_blank">2017</a> reports, the <a href="https://ainowinstitute.org/AI_Now_2018_Report.html" target="_blank">AI Now 2018 Report</a> contends with this central problem, and provides 10 practical recommendations that can help create accountability frameworks capable of governing these powerful technologies. </div></div><div><br></div><br></div></div>
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