Group items tagged

The term artificial intelligence typically refers to automation of tasks by software that previously required human levels of intelligence to perform. While machine learning is sometimes used interchangeably with AI, machine learning is just one sub-category of artificial intelligence whereby a device learns from its access to a stream of data.When we talk about AI spending, we’re typically talking about investment that companies are making in building AI capabilities. While this may change in the future, McKinsey estimates that the vast majority of spending is done internally or as an investment, and very little of it is done purchasing artificial intelligence applications from other businesses.

62% of AI spending in 2016 was for machine learning, twice as much as the second largest category computer vision. It’s worth noting that these categories are all types of “narrow” (or “weak”) forms of AI that use data to learn about and accomplish a specific narrowly defined task. Excluded from this report is “general” (or “strong”) artificial intelligence which is more akin to trying to create a thinking human brain.

The McKinsey survey mostly fits well as evidence supporting Cross’s framework that large profitable industries are the most fertile grounds of AI adoption. Not surprisingly, Technology is the industry with highest AI adoption and financial services also makes the top three as Cross would predict.Notably, automotive and assembly is the industry with the second highest rate of AI adoption in the McKinsey survey. This may be somewhat surprising as automotive isn’t necessarily an industry with the reputation for high margins. However, the use cases of AI for developing self-driving cars and cost savings using machine learning to improve manufacturing and procurement efficiencies are two potential drivers of this industry’s adoption.

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.

The whole premise of a true universal income program is that people can be eligible to receive the supplemental payment regardless of whether or not they work. While the income threshold for receiving the benefit necessarily varies by context, generally the idea is to help people clear the poverty threshold wherever they live.

In contrast, a significant part of the appeal of true UBI programs now comes from the fact that jobs–especially for less highly skilled workers–have not proven to be an adequate source of economic stability. And with automation threatening to make low-skilled jobs like cashier or waiter redundant, we can’t continue to rely on jobs as a path out of poverty. A UBI could certainly enable people to work if they would like to, but the point of it is that economic well-being should be a guarantee for all, regardless of labor.

Since 1982, the Alaskan government has sent a check to every resident from an investment fund established with oil revenues. In 2015, when oil prices were high, the Alaska Dividend Fund sent every individual an annual check for $2,072, or $8,288 for a family of four. Nobody is arguing that this annual stipend is enough to live on, or to qualify as a true UBI (especially because it fluctuates with the price of oil), but it’s a proven model for how a government can collect and redistribute revenue. Perhaps, Marinescu says, Alaska could be instructive in how states could put a tax on carbon and use the revenues to boost incomes.