AI Action Plan<\/a>, according to a NSF press release. This \u201cpublic-private investment,\u201d the press release says, will \u201csustain and enhance America\u2019s global AI dominance.\u201d<\/p>\nAccording to Pavlick, she and her fellow researchers submitted the proposal for ARIA \u201cyears ago, long before the administration change,\u201d but the response was \u201cvery delayed\u201d due to \u201ca lot of uncertainty at (the) NSF.\u201d\u00a0<\/p>\n
One of these collaborators was Michael Frank, the director of the Center for Computational Brain Science at the Carney Institute and a professor of psychology.\u00a0<\/p>\n
Frank, who was already working with Pavlick on projects related to AI and human learning, said that the goal is to tie together collaborations of members from different fields \u201cmore systematically and more broadly.\u201d<\/p>\n
According to Roman Feiman, an assistant professor of cognitive and psychological sciences and linguistics and another member of the ARIA team, the goal of the initiative is to \u201cdevelop better virtual assistants.\u201d But that goal includes various obstacles to ensure the machines \u201ctreat humans well,\u201d behave ethically and remain controllable.\u00a0<\/p>\n
Within the study, some \u201cpeople work basic cognitive neuroscience, other people work more on human machine interaction (and) other people work more on policy and society,\u201d Pavlick explained.\u00a0<\/p>\n
Although the ARIA team consists of many faculty and students at Brown, according to Pavlick, other institutions like Carnegie Mellon University, University of New Mexico and Dartmouth are also involved. On top of \u201cbasic science\u201d research, ARIA\u2019s research also examines the best practices for patient safety and the legal implications of AI.\u00a0<\/p>\n
\u201cAs everybody currently knows, people are relying on (large language models) a lot, and I think many people who rely on them don’t really know how best to use them, and don\u2019t entirely understand their limitations,\u201d Feiman said.<\/p>\n
According to Frank, the goal is not to \u201creplace human therapists,\u201d but rather to assist them.<\/p>\n
Assistant Professor of the Practice of Computer Science and Philosophy Julia Netter, who studies the ethics of technology and responsible computing and is not involved in ARIA, said that ARIA has \u201cthe right approach.\u201d\u00a0<\/p>\n
Netter said ARIA approach differs from previous research \u201cin that it really tried to bring in experts from other areas, people who know about mental health\u201d and others, rather than those who focus solely on computer science.<\/p>\n
But the ethics of using AI in a mental health context is a \u201ctricky question,\u201d she added.<\/p>\n
\u201cThis is an area that touches people at a point in time when they are very, very vulnerable,\u201d Netter said, adding that any interventions that arise from this research should be \u201cwell-tested.\u201d\u00a0<\/p>\n
\u201cYou\u2019re touching an area of a person\u2019s life that really has the potential of making a huge difference, positive or negative,\u201d she added.<\/p>\n
Because AI is \u201cnot going anywhere,\u201d Frank said he is excited to \u201cunderstand and control it in ways that are used for good.\u201d<\/p>\n
\u201cMy hope is that there will be a shift from just trying stuff and seeing what gets a better product,\u201d Feiman said. \u201cI think there\u2019s real potential for scientific enterprise \u2014 not just a profit-making enterprise \u2014 of figuring out what is actually the best way to use these things to improve people\u2019s lives.\u201d<\/p>\n
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