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A world inhabited only by robots, their billionaire owners and a large and increasingly restive population is the plotline for countless dystopian fantasies, but it’s a reality that appears to be drawing closer. If we continue on the path we’re on, we will need to make fundamental choices about how to support human livelihoods and ensure equal participation in our economy and society. Most basically, we will have to confront the realities of vastly unequal economic and political power. Even if we manage to enact a U.B.I., it will not be nearly enough.

Lyons announced the Partnership on AI’s first three working groups, which are dedicated to fair, transparent, and accountable AI; safety-critical AI; and AI, labor, and the economy. Each group will have a for-profit and nonprofit chair and aim to share its results as widely as possible. Lyons says these groups will be like a “union of concerned scientists.” “A big part of this is on us to really achieve inclusivity,” she says. Tess Posner, the executive director of AI4ALL, a nonprofit that runs summer programs teaching AI to students from underrepresented groups, showed why training a diverse group for the next generation of AI workers is essential. Currently, only 13 percent of AI companies have female CEOs, and less than 3 percent of tenure-track engineering faculty in the US are black. Yet an inclusive workforce may have more ideas and can spot problems with systems before they happen, and diversity can improve the bottom line. Posner pointed out a recent Intel report saying diversity could add $500 billion to the US economy.

“It’s good for business,” she says. These weren’t the first presentations at EmTech Digital by women with ideas on fixing AI. On Monday, Microsoft researcher Timnit Gebru presented examples of bias in current AI systems, and earlier on Tuesday Fast.ai cofounder Rachel Thomas talked about her company’s free deep-learning course and its effort to diversify the overall AI workforce. Even with the current problems achieving diversity, there are more women and people of color that could be brou

ght into the workforce.

Basically chauffeurs, truck drivers anyone who does driving for a living their jobs will be disrupted more in the 15 to 20 year time frame and many jobs that seem a little bit complex, chef, waiter, a lot of things will become automated we'll have automated stores, automated restaurants, and all together in 15 years, that's going to displace about 40 percent of the jobs in the world.

Because I believe in the sanctity of our soul. I believe there is a lot of things about us that we don't understand. I believe there's a lot of love and compassion that is not explainable in terms of neural networks and computation algorithms. And I currently see no way of solving them. Obviously, unsolved problems have been solved in the past. But it would be irresponsible for me to predict that these will be solved by a certain timeframe.

With even nursing at risk of becoming an on-call gig-working Uber-like profession, the model could bring about the end of employment and become the main way of organizing labor in the new economy, thinks Sundararajan. But problems arise when casual side hustles turn into full-time gigs. We have “painstakingly” built a system of worker protections, minimum wages, regulations and pension schemes that “transformed full-time employment from something that was pretty reprehensible 100 years ago to something that looks pretty good in many countries today,” says Sundararajan. How will a crowd-based economy look after its workers?

The rise of artificial intelligence is forcing us to take abstract ethical dilemmas much more seriously because we need to code in moral principles concretely. Should a self-driving car risk killing its passenger to save a pedestrian? To what extent should a drone take into account the risk of collateral damage when killing a terrorist? Should robots make life-or-death decisions about humans at all? We will have to make concrete decisions about what we will leave up to humans and what we will encode into software.

So the killer tool for this new paradigm of productivity will not be an app or a smart device. It will be deep within the confines of your own mind — in your ability to take seemingly disparate elements: untapped desires, cultural trends, and unrecognized problems—and combine them for explosive ideas.

More than almost any library, Facebook may be the single greatest home for historical testimony in the history of humankind. One can only hope that, with this step, the technology company is realizing the weight of its awesome responsibility.

Recent progress on climate change has been vital, environmentalists say. Although some say that the work is fragile at best and could be undone by the Trump administration, others remain certain that the grass-roots nature of environmental work will protect it from any sweeping federal changes. “Real change — the change that makes a difference — has been made at regional or local levels,” said Lonnie Thompson, distinguished university professor in Ohio State University’s School of Earth Sciences and a senior research scientist at the Byrd Polar and Climate Research Center. “It’s coming from the bottom up, (and) these changes will come no matter who’s in charge, what we believe or what we hope for.”