Maddy Longwell
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As artificial word advances in that place has been an increased force to comprise it into defence technology. Recently, the Department of Defense ordered the creation of the Joint Artificial Intelligence Center, which volition survive a hub for AI research. The JAIC is non the showtime sweat to comprise AI into the DoD, however. Project Maven, which was established past times the DoD to integrate machine learning in addition to big data, volition boot the bucket along every bit business office of JAIC after Google announced it volition destination its participation inwards the program. Timothy Persons, primary scientist of applied query in addition to methods for the Government Accountability Office, testified June 26 earlier the House of Representatives Subcommittees on Research in addition to Technology in addition to Energy nearly AI’s implications for policy in addition to research. In his testimony, Persons highlighted around suggestions for authorities policy in addition to query on AI that came from a March 2018 GAO report:
Improve information collection in addition to incentivize information sharing
Data is essential to teaching in addition to improving AI. In his testimony Persons emphasized the importance of collecting in addition to labeling high-quality information that tin forcefulness out amend machine learning.
It is too of import that information tin forcefulness out survive shared safely without compromising sensitive information such every bit intellectual holding or construct information. Persons pointed to an representative when MITRE, a nonprofit that handles federally funded research, credited data-sharing inwards the aviation manufacture amongst lowering the reveal of accidents.
Data-sharing, which could include establishing preparation environments that protect sensitive data, could include nationwide information standardization projects past times agencies such every bit the Bureau of Justice Statistics.
Address cybersecurity threats
AI systems are both vulnerable to in addition to tin forcefulness out survive used for cybersecurity attacks. The costs of cyberattacks on networks in addition to information are high in addition to unevenly distributed betwixt manufacturers in addition to users, Persons said. He suggested policy changes that portion the costs of cyberattacks in addition to protecting against them to a greater extent than evenly.
Update the approach to regulations
While AI engineering scientific discipline is soundless developing at a rapid pace, Persons encouraged policymakers to avoid prematurely establishing regulations in addition to instead update the regulatory structure. He pointed to the potential run of AI past times police force enforcement in addition to the evolving engineering scientific discipline inwards automated vehicles every bit 2 potential areas inwards demand of regulation.
Another means to update how AI is regulated could survive through establishing regulatory sandboxes, which let regulators to experiment on a pocket-size scale.
Better sympathise AI’s affect on employment
AI volition sure enough affect job across industries. However, correct at 1 time it is difficult to create upwardly one's hear which industries volition encounter task loss in addition to which volition encounter task growth inwards the future. Changes across the workforce caused past times AI volition require reevaluation of preparation in addition to education, Persons said.
Explore computational ethics in addition to explainable AI
In the future, AI systems volition bring to survive designed that tin forcefulness out operate inwards environments where non all potential events tin forcefulness out survive anticipated. Persons emphasized the importance of developing ethical processes for AI in addition to big information research. One of the main concerns, Persons said, is that the ethical standards of those developing AI may non survive compatible amongst the residuum of gild or those who run the technology.
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