Lifeboat Foundation

In fact, in a recent paper in Royal Society Open Science, researchers showed that AI tasked with maximizing returns is actually disproportionately likely to pick an unethical strategy in fairly general conditions. Fortunately, they also showed it’s possible to predict the circumstances in which this is likely to happen, which could guide efforts to modify AI to avoid it.

The fact that AI is likely to pick unethical strategies seems intuitive. There are plenty of unethical business practices that can reap huge rewards if you get away with them, not least because few of your competitors dare use them. There’s a reason companies often bend or even break the rules despite the reputational and regulatory backlash they could face.

Those potential repercussions should be of considerable concern to companies deploying AI solutions, though. While efforts to build ethical principles into AI are already underway, they are nascent and in many contexts there are a vast number of potential strategies to choose from. Often these systems make decisions with little or no human input and it can be hard to predict the circumstances under which they are likely to choose an unethical approach.

Researchers from the UK and Switzerland have found a mathematical means of helping regulators and business police Artificial Intelligence systems’ biases towards making unethical, and potentially very costly and damaging choices.

The collaborators from the University of Warwick, Imperial College London, and EPFL – Lausanne, along with the strategy firm Sciteb Ltd, believe that in an environment in which decisions are increasingly made without human intervention, there is a very strong incentive to know under what circumstances AI systems might adopt an unethical strategy—and to find and reduce that risk, or eliminate entirely, if possible.

Artificial intelligence (AI) is increasingly deployed in commercial situations. Consider for example using AI to set prices of insurance products to be sold to a particular customer. There are legitimate reasons for setting different prices for different people, but it may also be more profitable to make certain decisions that end up hurting the company.

It is often said that the 21st century will belong to China because China will grow its military, develop its economy, and completely integrate Hong Kong. However, in this video, I argue that the 21st Century won’t belong to China because it won’t take advantage of space resources and because it will attempt to grab more than it can chew in its ambitious endeavors.

PS: The stock footage from this photo comes from Videvo!

Continue reading “Why the 21st Century Won’t Belong to China” »

Artificial intelligence (AI) is transforming how enterprises analyze and process information. It is also shifting from theoretical to real-world technology. Companies are deploying AI technologies to boost efficiency, reduce costs, and grow sales and profitability. The technology can also reduce marketing waste by predicting what works. It is the most impactful innovation of our lifetime, and it will create new winners and losers across entire industries.

According to Gartner, artificial intelligence will create $2.9 trillion in business value and 6.2 billion hours of worker productivity globally in 2021. Most of that value will be realized by enterprises that implement AI in functions such as sales management, customer service, manufacturing, and logistics. With improvements in natural language processing, employees and users can easily communicate with machine-learning interfaces.

Let’s look at how AI applications are revamping digital enterprises and the retail industry.

Elon Musk’s electric car business exceeds the value of almost every company in the S&P 500, including some iconic American companies.

Shares of Tesla (TSLA) were up 4% in midday trading Wednesday to a new record high of above $1,120 a share. At that price, Tesla’s market cap is nearly $210 billion.

Researchers from the University of Warwick, Imperial College London, EPFL (Lausanne) and Sciteb Ltd have found a mathematical means of helping regulators and business manage and police Artificial Intelligence systems’ biases towards making unethical, and potentially very costly and damaging commercial choices—an ethical eye on AI.

As mentioned in previous videos, space junk is a deadly threat to our GPS, telecommunications, and satellite infraustructure. As such, in this video, we will talk about humanity’s upcoming, first mission to attempt to clean up orbital debris: Clearspace One, which is commissioned by the ESA.

Here is the petition link: https://www.change.org/p/save-vital-industries-call-for-subs…satellites

Continue reading “Clearspace One: The First Attempt At Cleaning Up Space Junk | The State of Science” »

Chesky predicted that vacationers will stay closer to home in the future, largely limiting their travel to places within driving distance, with national parks becoming even more popular destinations.

“I think you’re going to start to see travel becoming more intimate, more local, to smaller communities,” he said, citing Airbnb data that shows travel within countries is recovering to normal levels. But its international business is still being hit hard. “People are not getting on airplanes, they’re not crossing borders, they’re not meaningfully traveling to cities, they’re not traveling for business.”

Read: Is it safer to stay at a hotel or an Airbnb during your summer vacation? ‘We need to balance sanity and risk’

He stresses that these are not “luxury bunkers” for the top 1 percent, and only a small part of the calls are coming from Doomsday preppers or Cold War-era holdovers. Rather, about two-thirds of his business comes from consumers who pay approximately $25,000 for an underground livable dwelling. Since the outbreak of the coronavirus pandemic, Mr. Woodworth said he has been unable to keep up with the demand.

When we were told to stay inside our homes, a portion of the population quietly went below ground.