AI AN IN-DEPTH REPORT we can all enjoy because of these enhancements, and also risks. I’m definitely worried about the bias that’s built into the system being perpetuated, and predictive policing is one area where that really is very scary. Venkatraman: Data privacy is the other thing I’m thinking about. Individuals and users need to have control of their data; data is the new oil. They need mechanisms to be able to opt in and opt out of data, and also to delete data that’s attributed to them. Jennings: The other thing I think we need to think about is China. China has a very active, aggressive policy on AI. They’ve got a leader who probably understands it better than any current political leader around, and they’re very, very overt about saying they want to be the leader of AI in the world. Any policy that we have — either national policy or even standard industry strategy — has to include a look at and understanding of what China is up to with AI. Venkatraman: As a blanket statement, I think cybersecurity measures are essential to protect data and unauthorized access to that data, because it can be misused. I just don’t know how. But I think it’s needed. Newberry: Is there one area that each of you is optimistic about with AI applications in terms of what’s possible? Hanley: I am optimistic about how this technology in my discipline will open up lawyers specifically to focusing more of their time and attention on the uniquely human aspects of lawyering: talking to clients, brainstorming creative ideas about how to present a case to a decision-maker, whether that’s a judge or a jury, opposing counsel. You know, how to persuade someone face-to-face, in person, how to frame a question, and how to engage with a human being who’s relying on you in a moment of vulnerability and challenge in their life — and delegate to technology some of the more tedious, time-consuming tasks that tend to burn lawyers out and make them unhappy with their profession, so they find more satisfaction and extend their reach to more people who need legal support. So I’m optimistic about that — cautiously optimistic. Dykeman: In my field of education, I’m super excited about the ability of LMS-assisted, individualizing instruction. Venkatraman: If I look back at automation, I felt like it helped ease the burden on manual labor. Now with generative AI, it’s helping ease the burden of just repetitive and mundane tasks in white-collar work. My optimism stems from the fact that anything that’s repetitive and mundane in nature, we can use tools to automate that. So that frees us up to focus on things that matter, like human relationships, or solving very complex problems that computers cannot solve today. That’s what keeps me going. Jennings: I’m very excited about AI’s exploration of space. We have an AI navigating on Mars right now in the Perseverence rover. There are really aggressive AI programs from NASA and other private programs. I think, in my grandson’s generation, he’s going to see the universe opened and explored in ways that we can’t even fathom. That’s my Star Trek. “The United States leads China in innovative national security technology and industrial might, but Beijing is rushing ahead in areas like artificial intelligence, where it feels it can be a global leader in the next decade, the Center for Strategic and Budgetary Assessment’s latest report concludes. … The report adds that China’s ‘Achilles Heel’ in the competition is its ‘do-it-or-else’ systems of governmental penalties placed on industry, while the United States’ system is more open to market forces in fostering useful innovation. The United States also retains an edge in developing technologies that fit well in the civilian and military sectors, while China’s ‘structural statist bias’ — the report’s term — will likely hinder progress.” Source: USNI News Learning Management Systems (LMS) are platforms with AI algorithms that can “analyze the performance and preferences of individual learners,” tailoring instruction accordingly and enhancing the efficiency and effectiveness of instruction. Source: Medium.com “Members of the public can now help teach an artificial intelligence algorithm to recognize scientific features in images taken by NASA’s Perseverance rover.” https://www.nasa.gov/solar-system/ you-can-help-train-nasas-rovers-tobetter-explore-mars/ Rebekah Hanley 33
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