Machine intelligence is here, and we're already using it to make subjective decisions. But the complex way AI grows and improves makes it hard to understand and even harder to control. In this cautionary talk, techno-sociologist Zeynep Tufekci explains how intelligent machines can fail in ways that don't fit human error patterns -- and in ways we won't expect or be prepared for. "We cannot outsource our responsibilities to machines," she says. "We must hold on ever tighter to human values and human ethics."

In a recent interview, AthenaHealth CEO Jonathan Bush noted the limitations of traditional doctors and said, "The human is wrong so freaking often, it's a massacre." "By 2025, AI systems could be involved in everything from population health management, to digital avatars capable of answering specific patient queries." Stephen Hawking has said the development of full Artificial Intelligence (AI) could spell the end of the human race – and Elon Musk agreed. In a recent interview, AthenaHealth CEO Jonathan Bush noted the limitations of traditional doctors and said, "The human is wrong so freaking often, it's a massacre." "By 2025, AI systems could be involved in everything from population health management, to digital avatars capable of answering specific patient queries."

CMSWire's Digital Customer Experience (DX) Summit 2016 conference brings together the world's foremost digital customer experience (DX) and marketing technology (MarTech) leaders and practitioners who are defining the next generation of digital experiences and creating the... Read More

Machine intelligence is here, and we're already using it to make subjective decisions. But the complex way AI grows and improves makes it hard to understand and even harder to control. In this cautionary talk, techno-sociologist Zeynep Tufekci explains how intelligent machines can fail in ways that don't fit human error patterns -- and in ways we won't expect or be prepared for. "We cannot outsource our responsibilities to machines," she says. "We must hold on ever tighter to human values and human ethics."

Machine intelligence is here, and we're already using it to make subjective decisions. But the complex way AI grows and improves makes it hard to understand and even harder to control. In this cautionary talk, techno-sociologist Zeynep Tufekci explains how intelligent machines can fail in ways that don't fit human error patterns -- and in ways we won't expect or be prepared for. "We cannot outsource our responsibilities to machines," she says. "We must hold on ever tighter to human values and human ethics."

Sure, there's a need for individuals to be responsible when working with AI. But it's also the responsibility schools/universities to teach about machine learning bias, and how to protect against them. By only doing audits when AI go wrong, we probably won't catch up and correct bias in the increasing number of systems that use AI. Developer and engineer have to account for bias when developing these. But there's no magic, they have to be trained for it.

Machine intelligence is here, and we're already using it to make subjective decisions. But the complex way AI grows and improves makes it hard to understand and even harder to control. In this cautionary talk, techno-sociologist Zeynep Tufekci explains how intelligent machines can fail in ways that don't fit human error patterns -- and in ways we won't expect or be prepared for. "We cannot outsource our responsibilities to machines," she says. "We must hold on ever tighter to human values and human ethics."