- From: Paola Di Maio <paola.dimaio@gmail.com>
- Date: Tue, 26 Jan 2021 08:19:05 +0800
- To: Owen Ambur <Owen.Ambur@verizon.net>
- Cc: W3C AIKR CG <public-aikr@w3.org>
- Message-ID: <CAMXe=Sr24WgFTXVsV7dJa5jhP37CwNv2N4hVJ3Rjs=rGkQ3gvw@mail.gmail.com>
Thank you Owen wouldn't it be great to try the algorithm on some stratml resources On Tue, Jan 26, 2021 at 12:04 AM Owen Ambur <Owen.Ambur@verizon.net> wrote: > "In the quest to capture ... social intelligence in machines, > researchers from MIT’s Computer Science and Artificial Intelligence > Laboratory (CSAIL) and the Department of Brain and Cognitive Sciences > created an algorithm capable of inferring goals and plans, even when > those plans might fail." > > "... ability to account for mistakes could be crucial for building > machines that robustly infer and act in our interests ... Otherwise, AI > systems might wrongly infer that, since we failed to achieve our > higher-order goals, those goals weren’t desired after all. We’ve seen > what happens when algorithms feed on our reflexive and unplanned usage > of social media, leading us down paths of dependency and polarization. > Ideally, the algorithms of the future will recognize our mistakes, bad > habits, and irrationalities and help us avoid, rather than reinforce, > them." > > > https://scitechdaily.com/new-mit-social-intelligence-algorithm-helps-build-machines-that-better-understand-human-goals/ > > Wouldn't it be nice if AI-assisted business networking services helped > us avoid polarization and needless dependencies on The Politics Industry > as we strive to achieve public objectives documented in an open, > standard, machine-readable format? > > > https://www.linkedin.com/pulse/politics-industry-v-we-people-magic-formula-owen-ambur/ > > Owen > > > >
Received on Tuesday, 26 January 2021 00:19:55 UTC