“Do You Trust this Computer?” is a documentary about artificial intelligence and it’s free to stream until tonight.
Chris Paine, the man behind “Who Killed the Electric Car” that looked at General Motors and Tesla, has a new documentary called “Do You Trust This Computer” that looks at how artificial intelligence could threaten the future of humanity. Elon Musk shared the video on Twitter.
Above all, the government needs to understand what AI is and what it will do. Since artificial intelligence is such a complex and fast-moving field, it is especially important for experts to be brought in to brief policymakers and the administration. Without technical acumen, it will be a challenge to act effectively in any area relevant to AI.
Government indifference toward AI could let the US lose ground to rival countries. But what would a good AI plan actually look like?
Why does everyone assume that the AI revolution will either lead to a fiery apocalypse or a glorious utopia, and not something in between? Of course, part of this is down to the fact that you get more attention by saying “The end is nigh!” or “Utopia is coming!”
But part of it is down to how humans think about change, especially unprecedented change. Millenarianism doesn’t have anything to do with being a “millennial,” being born in the 90s and remembering Buffy the Vampire Slayer. It is a way of thinking about the future that involves a deeply ingrained sense of destiny. A definition might be: “Millenarianism is the expectation that the world as it is will be destroyed and replaced with a perfect world, that a redeemer will come to cast down the evil and raise up the righteous.”
Millenarian beliefs, then, intimately link together the ideas of destruction and creation. They involve the idea of a huge, apocalyptic, seismic shift that will destroy the fabric of the old world and create something entirely new. Similar belief systems exist in many of the world’s major religions, and also the unspoken religion of some atheists and agnostics, which is a belief in technology.
AUSTIN — At SXSW 2018, artificial intelligence (AI) was everywhere, even in the sessions that were not specifically about the subject. AI has captured the attention of people well outside the technology space, and the implications of the technology are far-reaching, changing industries, eliminating many human jobs, and changing the nature of work for most of us going forward. I expect that an AI bot could write this article within 10 years — and likely much sooner — simply by ingesting all the information from the sessions I attended, coupled with an ability to research related information on the internet much better than I could.
Interestingly enough, as Ray Kurzweil pointed out in his talk here, the term “artificial intelligence” was coined at a summer workshop at Dartmouth in 1956 attended by computing pioneers such as Marvin Minsky and Claude Shannon, at a time when computers still ran on vacuum tubes and computers in the world numbered in the hundreds.
While we have a handle on what constitutes artificial intelligence in computers today, what constitutes intelligence in humans is still not completely agreed upon. We have some 100 billion neurons in our brains, and those neurons can make 100 trillion connections, which certainly outstrip any computer today. Those connections allow us to identify things, make decisions, use and understand language, and many other things that a computer has a hard time doing – for now.
We are now a connected global community where many digital natives cannot remember a time before the iPhone. The rise of smart homes means that we are increasingly attaching our lighting, door locks, cameras, thermostats, and even toasters to our home networks. Managing our home automation through mobile apps or our voice illustrates how far we have evolved over the last few years.
However, in our quest for the cool and convenient, many have not stopped to consider their cybersecurity responsibilities. The device with the weakest security could allow hackers to exploit vulnerabilities on our network and access our home. But this is just the tip of the proverbial iceberg.
Businesses and even governments are starting to face up to the vulnerabilities of everything being online. Sophisticated and disruptive cyberattacks are continuing to increase in complexity and scale across multiple industries. Areas of our critical infrastructure such as energy, nuclear, water, aviation, and critical manufacturing have vulnerabilities that make them a target for cybercriminals and even a state-sponsored attack.
“Be very, very afraid. As this extraordinary book reveals, we are fast sailing into an era in which big life-and-death decisions in war will be made not by men…and women, but by artificial intelligence” — @stavridisj’s review of @paul_scharre upcoming book Pre-order yours now:
A Pentagon defense expert and former U.S. Army Ranger explores what it would mean to give machines authority over the ultimate decision of life or death.
What happens when a Predator drone has as much autonomy as a Google car? Or when a weapon that can hunt its own targets is hacked? Although it sounds like science fiction, the technology already exists to create weapons that can attack targets without human input. Paul Scharre, a leading expert in emerging weapons technologies, draws on deep research and firsthand experience to explore how these next-generation weapons are changing warfare.
Scharre’s far-ranging investigation examines the emergence of autonomous weapons, the movement to ban them, and the legal and ethical issues surrounding their use. He spotlights artificial intelligence in military technology, spanning decades of innovation from German noise-seeking Wren torpedoes in World War II―antecedents of today’s homing missiles―to autonomous cyber weapons, submarine-hunting robot ships, and robot tank armies. Through interviews with defense experts, ethicists, psychologists, and activists, Scharre surveys what challenges might face “centaur warfighters” on future battlefields, which will combine human and machine cognition. We’ve made tremendous technological progress in the past few decades, but we have also glimpsed the terrifying mishaps that can result from complex automated systems―such as when advanced F-22 fighter jets experienced a computer meltdown the first time they flew over the International Date Line.
BOB is an AI entity who can be interacted with in an art exhibition at the Serpentine Gallery in London.
A longer-term concern is the way AI creates a virtuous circle or “flywheel” effect, allowing companies that embrace it to operate more efficiently, generate more data, improve their services, attract more customers and offer lower prices. That sounds like a good thing, but it could also lead to more corporate concentration and monopoly power—as has already happened in the technology sector.
LIE DETECTORS ARE not widely used in business, but Ping An, a Chinese insurance company, thinks it can spot dishonesty. The company lets customers apply for loans through its app. Prospective borrowers answer questions about their income and plans for repayment by video, which monitors around 50 tiny facial expressions to determine whether they are telling the truth. The program, enabled by artificial intelligence (AI), helps pinpoint customers who require further scrutiny.
AI will change more than borrowers’ bank balances. Johnson & Johnson, a consumer-goods firm, and Accenture, a consultancy, use AI to sort through job applications and pick the best candidates. AI helps Caesars, a casino and hotel group, guess customers’ likely spending and offer personalised promotions to draw them in. Bloomberg, a media and financial-information firm, uses AI to scan companies’ earnings releases and automatically generate news articles. Vodafone, a mobile operator, can predict problems with its network and with users’ devices before they arise. Companies in every industry use AI to monitor cyber-security threats and other risks, such as disgruntled employees.
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