An inter-university team of computer scientists from the Massachusetts Institute of Technology (MIT) and the University of Toronto (UoT) conducted a recent experiment that suggests something is going on in the design of AI models that, if not addressed soon, could have disastrous consequences for us humans.
All AI models must be trained using massive amounts of data. However, there are reports that the process is deeply flawed.
Take a look around you and see how many major and minor ways AI has already infiltrated your life. To name a few, Alexa reminds you of your appointments, health bots diagnose your fatigue, sentencing algorithms recommend prison time, and many AI tools have begun screening financial loans.
Instead, the cause of these adverse results could be that the enterprise behind the AI algorithms did a poor job of training them.
In particular, AI systems trained on descriptive data invariably make far harsher decisions than humans would, as these scientists—Aparna Balagopalan, David Madras, David H. Yang, Dylan Hadfield-Menell, Gillian Hadfield, and Marzyeh Ghassemi—have highlighted in their recent paper in Science.
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