Artificial intelligence has made tremendous advances since its inception about seventy years ago. Self-driving cars, programs beating experts at complex games, and smart robots capable of assisting people that need care are just some among the successful examples of machine intelligence. This kind of progress might entice us to envision a society populated by autonomous robots capable of performing the same tasks humans do in the near future. This prospect seems limited only by the power and complexity of current computational devices, which is improving fast. However, there are several significant obstacles on this path. General intelligence involves situational reasoning, taking perspectives, choosing goals, and an ability to deal with ambiguous information. We observe that all of these characteristics are connected to the ability of identifying and exploiting new affordances-opportunities (or impediments) on the path of an agent to achieve its goals. A general example of an affordan
Broken Promises & Empty Threats: The Evolution of AI in the USA, 1956-1996 – Technology s Stories
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What Artificial Intelligence Still Can t Do
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The state of the art in robotics and artificial intelligence continues to advance at an accelerating clip, surprising experts and futurists. Increasingly complex and in telligent machines are changing the texture of human life as they are insinuated into more spheres of activity, from manufacturing to law enforcement to stock trading.
Military applications have historically been one of the greatest drivers of innovation. We can trace the history of warfighting and especially its recent history as a long arc of removing the warfighter more and more from harm’s way.
1 The so-called “drones” in America’s arsenal represent the latest in this progression, though, importantly, they still require a human to make the potentially lethal decision to engage a target.