Making Law for Thinking Machines? Start with the Guns - Netopia

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The Bank of England's warning that the pace of artificial intelligence development now threatens 15m UK jobs has prompted calls for political intervention.


Why artificial intelligence needs the human touch - Microsoft News Centre Europe

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"I propose to consider the question, 'can machines think?' This should begin with definitions of the meaning of the word'machine' and'think'." So wrote computing pioneer Alan Turing in the introduction to his seminal paper on machine intelligence, published in the journal Mind in 1950. That paper – introducing the'imitation game', Turing's adversarial test for machine intelligence, in which a human must decide whether what we now call a chatbot is a human or a computer – helped spark the field of research which later became more widely known as artificial intelligence. Whilst no researcher has yet made a general purpose thinking machine – what's known as artificial general intelligence – that passes Turing's test, a wide variety of special purpose AIs have been created to focus on, and solve, very specific problems, such as image and speech recognition, and defeating chess and Go champions.


Artificial intelligence will enhance us, not replace us

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In his 1990 book The Age of Intelligent Machines, the American computer scientist and futurist Ray Kurzweil made an astonishing prediction. Working at the Massachusetts Institute of Technology (MIT) throughout the 1970s and 1980s and having seen firsthand the remarkable advances in artificial intelligence pioneered there by Marvin Minsky and others, he forecast that a computer would pass the Turing test – the test of a machine's ability to match or be indistinguishable from human intelligence – between 2020 and 2050.


The workplaces of the future will be more human, not less

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In the 18th century, those operating at the highest levels of society, from London to Moscow, needed to be able to speak French, then the language of status, the nobility, politics, intellectual life and modernisation. A hundred years later, British advances in industry, science and engineering meant that English succeeded French: a tongue with West Germanic origins replaced a romance language as the means of conducting business and diplomacy on the international stage. Today, even in some parts of China, English is still used as the global lingua franca, a leveller that enables deals to get done and the wheels of commerce and technology to spin. Around a decade ago, another type of language – one that was written rather than spoken – was held up as a deterministic factor for those seeking to gain influence or advantage in the digital age: coding. Its champions proselytised that proficiency in programming would determine employability and access to a thrusting, energetic entrepreneurial future. Over two or three years, a small industry sprang up, intent on instructing those who had no formal education in computer science to create products using C .


Artificial Intelligence Is Growing Up Fast: What's Next For Thinking Machines? - Liwaiwai

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Our lives are already enhanced by AI – or at least an AI in its infancy – with technologies using algorithms that help them to learn from our behaviour. As AI grows up and starts to think, not just to learn, we ask how human-like do we want their intelligence to be and what impact will machines have on our jobs? We are well on the way to a world in which many aspects of our daily lives will depend on AI systems. Within a decade, machines might diagnose patients with the learned expertise of not just one doctor but thousands. They might make judiciary recommendations based on vast datasets of legal decisions and complex regulations.