Artificial Intelligence Will Do What We Ask. That’s a Problem.

The danger of having artificially intelligent machines do our bidding is that we might not be careful enough about what we wish for. The lines of code that animate these machines will inevitably lack nuance, forget to spell out caveats, and end up giving AI systems goals and incentives that don’t align with our true preferences.

A now-classic thought experiment illustrating this problem was posed by the Oxford philosopher Nick Bostrom in 2003. Bostrom imagined a superintelligent robot, programmed with the seemingly innocuous goal of manufacturing paper clips. The robot eventually turns the whole world into a giant paper clip factory.

Top 25 AI Influencers to Follow on Twitter by 2019

With Artificial Intelligence playing a central role in the era of digital transformation, sharing information and knowledge about the advancements and the opportunities brought by AI is becoming crucial.

The influencers presented in this list are actively sharing information and knowledge about AI and disruptive technologies. They are the co-founders of AI ventures, machine learning professors, data scientists, and tech and digital transformation leaders.

This object-recognition dataset stumped the world’s best computer vision models

Computer vision models have learned to identify objects in photos so accurately that some can outperform humans on some datasets. But when those same object detectors are turned loose in the real world, their performance noticeably drops, creating reliability concerns for self-driving cars and other safety-critical systems that use machine vision.