Rebooting AI - Building Artificial Intelligence We Can Trust

    Gary Marcus, Ernest Davis

    Pantheon
    2019
    304 páginas
    10h 8m
    ISBN-10: 1524748250

    Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we are led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer winning in games like Jeopardy and go does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules. These approaches are too narrow to achieve genuine intelligence. The world we live in is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Marcus and Davis show us what we need to first accomplish before we get there and argue that if we are wise along the way, we won't need to worry about a future of machine overlords. If we heed their advice, humanity can create an AI that we can trust in our homes, our cars, and our doctor's offices.

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    Tiago Vinhoza picture
    Tiago Vinhoza05/01/2024Resenhou um livro
    3.5 (Bom)

    AI beyond the hype

    Today we are bombarded by news of “AI does this, AI does that better than humans”. Rebooting AI is a critical appraisal of current status of deep learning and AI trying to see beyond the media hype. Gary Marcus is a well known “anti-AI hype” personality on Twitter but I agree with his point that what he is actually saying can be seen as “tough love”. The book wants to end the conflation between narrow AI tasks (for which deep learning is really great) and general (i.e. “really” intelligent) AI. The authors show several examples in which we see that current AI actually does not understand meaning of what it is doing. They point to some possible areas in which research should be directed (most of which is interdisciplinary collaborations outside computer science) in order to finally accomplish intelligence in a broader sense.

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