AI News, Artificial intelligence

Artificial Intelligence (AI) Stats News: AI Is Actively Watching You In 75 Countries

Recent surveys, studies, forecasts and other quantitative assessments of the impact and progress of AI highlighted the strong state of AI surveillance worldwide, the lack of adherence to common privacy principles in companies’ data privacy statement, the growing adoption of AI by global businesses, and the perception of AI as a major risk by institutional investors.

most companies reported that their investments in AI-related talent and supporting infrastructure will increase approximately 50% to 100% in the next three years [KPMG 2019 Enterprise AI Adoption Study based on in-depth interviews with senior leaders at 30 of the world’s largest companies and other sources] 85% of organizations surveyed have a data strategy and 77% have implemented some AI-related technologies in the workplace, with 31% already seeing major business value from their AI efforts;

52% of the investors surveyed, who stated AI was a risk, also regarded it an opportunity, whereas 33% saw it as only a risk and 7% regard it as an opportunity only [BNY Mellon Investment Management and CREATE-Research in-depth, structured interviews with 45 CIOs, investment strategists and portfolio managers among pension plans, asset managers and pension consultants in 16 countries and a literature survey of about 400 widely respected research studies] AI research successes A

The global total for all of 2018 was $19.5 billion [Crunchbase News] AI market forecasts The North America AI chip market is estimated to reach $30.62 billion in 2027, up from $2.5 billion in 2018 [ResearchAndMarkets] The Asia Pacific AI chip market is estimated to reach $22.27 billion in 2027, up from $1.03 billion in 2018 [ResearchAndMarkets] AI quotes of the week “An AI-equipped surveillance camera would be not a mere recording device, but could be made into something closer to an automated police officer”—Edward Snowden “When you get into the millions, you can really start to generate the levels at which humans stop understanding the correlations, and the machines start to understand the correlations”—Ricky Knox, co-founder and CEO, Tandem Bank “As AI gets better at performing the routine tasks traditionally done by humans, only the hardest ones will be left for us to do.

What business leaders need to know about artificial intelligence

Artificial intelligence dominates the headlines, part promise and part specter, as society grapples with how technology is changing the way we work and live.

“I think leaders are increasingly worried in many cases that if they don’t figure out how to use AI effectively, they’ll be left behind.” Malone said the course emphasizes the history of artificial intelligence and common misconceptions along with how businesses can harness technology.

For example, if you don’t know enough, you’ll ask for all kinds of things that can’t be done.” Beyond a basic understanding of AI — a look behind the magic curtain, so to speak — Malone said it is important to grasp the truth behind some of AI’s promise.

“If you’re going to learn about only one part of AI right now, machine learning is probably the most important one to learn,” said Malone, who also teaches an executive education course about machine learning.   “There’s been very rapid progress in machine learning in the last few years, and it is now the basis for some of the most impressive AI applications we have,' he said.

In fact, that anxiety prompted MIT to embark on a multiyear Future of Work study, which found that automation will have a profound effect on how people work but inequality and job loss are not inevitable byproducts.  We should be very skeptical of anyone who confidently predicts that we’ll have human-level AI in the next couple of decades.

Some jobs will undoubtedly disappear because of automation, Malone said, but history indicates that new technology usually creates new jobs as it destroys old ones.  In his book 'Superminds,' Malone argues that in the future humans and machines will work together to do things that haven’t been done before.

Humans will continue to work at jobs that machines can’t, assume new jobs enabled by artificial intelligence, or will continue to do existing jobs because people prefer to have other people do them (like judges, artists, and football players).  “That doesn’t mean we shouldn’t worry about what to do for people who lose jobs and can’t find others during this transition period,” he said.

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