Panel聽– Balancing the Governance of AI: Benefits and Challenges of Possible Approaches
Brief session description:
Thursday, July 25, 2019 –聽Artificial intelligence is radically transforming industries, governments, economies and civil society. It has great promise, but it also has its limitations and it can cause harm. This panel was asked to examine current applications and trends and discuss when and where the governance of artificial intelligence should occur. It was asked to consider how to arrive at the right balance of innovation and precaution in order to for society to realize the benefits while limiting the harms of AI.
惭辞诲别谤补迟辞谤听鈥� Jess Fjeld, assistant director, Cyberlaw Clinic, Berkman Klein Center for Internet & Society, Harvard University
Panelists:
Lee McKnight, associate professor, School of Information Studies, Syracuse University
Lynn Parker, assistant director of artificial intelligence, White House Office of Science and Technology Policy
Nicol Turner-Lee, fellow in governance studies at the Center for Technology Innovation, Brookings Institution
Kathryn Krolopp, independent analyst and researcher
Details of the session:
Artificial intelligence is becoming increasingly relevant in everyday life 鈥撯�� from uses in health care to ad algorithms on social media 鈥� but there鈥檚 a lack of understanding among typical Internet users about what AI involves, making it difficult to regulate, suggested panelists.
Moderator Jessica Fjeld, assistant director of the Cyberlaw Clinic at the Berkman Klein Center for Internet & Society at Harvard Law School, said it鈥檚 difficult to expect everyone to have the same understanding of artificial intelligence and governance.
鈥淭here are two big words in the title [of the panel] that people bring a lot of different perspectives to,鈥� Fjeld said. 鈥淥ne being AI and one being governance.鈥�
Lee McKnight, associate professor in the School of Information Studies at Syracuse University, broke the definition of AI into four 鈥渃ategories of definitions鈥�: thinking humanly, acting humanly, thinking rationally and acting rationally.
Similar to McKnight, Fjeld described AI governance in four pieces: technology-level, actor-level, sector-level and governance by the government.
Lynne Parker, director of artificial intelligence for the White House Office of Science and Technology Policy, said the U.S. government needs to initiate meaningful principles for artificial intelligence use.
鈥淲e want to encourage innovation of course,鈥� she said. 鈥淭here are a lot of great uses of AI. We don鈥檛 want to make it so heavy-handed that no company will build up on AI innovation.鈥�
In February, President Donald Trump signed an executive order for the American AI Initiative, which would help develop regulations for AI use. With AI鈥檚 鈥渋nnumerable uses,鈥� Parker said, it鈥檚 difficult to find the right balance in regulation.
鈥淲e don鈥檛 want to be in a society where it is a surveillance state where everyone is being watched,鈥� Parker said.
Privacy concerns
Privacy needs to be central to any conversation about AI, according to Nicol Turner Lee, a fellow at the Center for Technology Innovation at the Brookings Institution. Lee shared that she was on a website for an African-American fraternity when pop-up ads appeared, offering to provide arrest records for a cheap price.
鈥淭hat revealed to me that we were in trouble because here was this innocuous, celebratory site with predatory ads,鈥� she said.
Lee said, as a consumer, she wants to know when her data is being collected and what data is being collected.
鈥淲hat you assume about me based on my purchasing profile, my kids, my status, you don鈥檛 know quite who I am,鈥� she said. 鈥淏ut you make those inferences. It doesn鈥檛 allow me as a consumer to check on a box. I want some marker that says I can trust that this algorithm is not going to take me down that slippery slope or make more consumer harms.鈥�
Kathryn Krolopp, an independent analyst and researcher, had a similar experience as Lee. Krolopp said a large international media company she worked for mined user鈥檚 data to estimate their net worth and target ads based on that information.
鈥淚f this kind of marketing becomes the norm, it鈥檚 going to be devastating for consumers,鈥� Krolopp said.
McKnight alluded to the recent protests in Hong Kong, where he said an AI startup used a system with cameras and facial recognition to estimate how many people were protesting. He 聽said it鈥檚 ironic that the attendees were protesting against a surveillance state, while still being recorded.
鈥淥nly use AI with the right techniques where it鈥檚 appropriate,鈥� he said. 鈥淎nd where it鈥檚 not, have some sort of practice or policy for control.鈥�
McKnight used a metaphor of a stop light to understand when it鈥檚 appropriate to use AI and when it鈥檚 not. The 鈥済reen light鈥� data is open information, 鈥測ellow light鈥� data needs some control or permission to access, and 鈥渞ed light鈥� data must be secured.
Divide in digital education
McKnight works with the local government in Syracuse on developing AI systems in the city. To him, all people have a right to understand AI and how data is being used.
鈥淭here鈥檚 certain things where everybody should be worried about cybersecurity things,鈥� McKnight said. He specifically alluded to when systems get hacked or human life can be harmed.
Krolopp said she believes there is a knowledge gap in how people in the tech industry understand AI versus how people in civil society do.
鈥淧eople just don鈥檛 understand that technology, and AI touch our lives every day,鈥� she said. 鈥淎I isn鈥檛 going to kill you unless somebody really hates you.鈥�
To combat the education gap, Parker said part of the American AI Initiative involves incorporating AI education into schools from kindergarten through college. This, she said she believes, will level the playing field.
鈥淚t鈥檚 not just about winners or losers, but helping more people have the opportunity to participate,鈥� she said.
What鈥檚 the solution?
Though government regulation 鈥撯�� like the American AI Initiative 鈥撯�� may regulate tech companies use of AI, Krolopp said she believes tech companies should require ethical training to eliminate the extraction of sensitive user data.
Lee acknowledged the benefits of AI, including advances in health care and environmental advances. But she said members of civil society should get involved in conversations surrounding AI because they鈥檙e the ones being affected by the negative side of AI.
鈥淚 think we need to do something because I honestly don鈥檛 want the Internet to infer who I am and put me in a box,鈥� she said.
McKnight agreed that responsibility lies with tech companies 鈥� not just the government 鈥� to be transparent with how software is being used.
鈥淟et鈥檚 have conversations now and make sure we don鈥檛 build these systems that are so intrusive and violate privacy,鈥� he said.
– By Brian Rea
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The multimedia reporting team for Imagining the Internet at IGF-USA 2019 included the following 黑料不打烊 School of Communications students, staff and faculty:
Janna Anderson, Maeve Ashbrook, Elisabeth Bachmann, Bryan Baker, Paloma Camacho, Samantha Casamento, Colin Donohue, Abby Gibbs, Jack Haley, Hannah Massen, Grace Morris, Jack Norcross, Maria Ramirez, Brian Rea, Alexandra Roat, Baylor Rodman, Zach Skillings, Ted Thomas, Victoria Traxler, Julia Walter, Courtney Weiner, Mackenzie Wilkes and Cameron Wolfslayer