Artificial Intelligence and the News Open Challenge

The goals of the winners of the Knight Foundation's AI/news challenge are now available in StratML format at http://stratml.us/drybridge/index.htm#AINOC 
U.S. federal agency compliance with the new OPEN Government Data Act (OGDA) would be highly supportive of these goals:

Goal 4: Government Documents - Sift through massive government document dumps.

OGDA requires agencies to make their records open by default, using schemas specified by SDOs. http://stratml.us/references/HR4174.htm#schema_standards & http://stratml.us/references/HR4174.htm#SDOs 


Goal 5: Government Contracts - Extract structured data from government contracts.

Government contracts are among the records that should be ascribed high-priority for rendition in standard schema-compliant format.  http://stratml.us/references/HR4174.htm#priority_for_disclosure 
The Knight Foundation and the W3C should assist and hold agencies accountable for complying with their OGDA obligations.
Owen



-----Original Message-----
From: Paul Cheung, Knight Foundation <web@knightfoundation.org>
To: owen.ambur <owen.ambur@verizon.net>
Sent: Tue, Mar 12, 2019 9:45 am
Subject: Announcing the winners in the Artificial Intelligence and the News Open Challenge

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|  Congratulations to the winners of the 
AI and the News Open Challenge!

Seven projects today are receiving $750,000 to explore and shape the impact that artificial intelligence is having on the field of news and information.The projects will tackle a variety of problems, including:   
   - Confronting bad actors spreading misinformation through messaging platforms; 
   - Equipping journalists with the technology they need to quickly sift through reams of information;
   - Tackling emerging threats posed by AI-generated fakes, and more.
The challenge is a project of the Ethics and Governance of AI Initiative, funded in part by Knight Foundation.

You can learn about the winners on the initiative's website.  |

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|  Copyright © 2019 John S. and James L. Knight Foundation, All rights reserved. 

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Received on Wednesday, 27 March 2019 00:09:50 UTC