Ethics

Ethical problems and questions surrounding AI

EU High-Level Expert Group calls for input on AI Ethics Guidelines

The European Commission’s High-Level Expert Group on Artificial Intelligence (AI HLEG) recently published the draft of their AI Ethics Guidelines.  The AI HLEG is accepting feedback from European AI Alliance stakeholders on the draft guidelines until January 18, 2019.  The final version will be presented to the European Commission in March 2019 and read more...

World Economic Forum report finds gender gap in AI

The World Economic Forum (WEF) released its Global Gender Gap Report this week and the results are worrying. In collaboration with LinkedIn, the WEF found that just 22% of AI professionals worldwide are female, a gender gap which has been constant over the last few years and doesn’t look set to change in the imminent future. Moreover read more...

Recycling robots: Using AI to solve one of the world’s biggest problems

Humans are bad at recycling. Even those of us who try our best often get confused when our trash is made of multiple components, and much of the recycling that ends up in recycling plants can’t be recycled because it’s too dirty with food or liquids. This means that once our “recycling” gets shipped to a recycling plant, human workers read more...

Fairness tools and explainable AI: Companies start to invest in the ethics of AI

The neural networks that make up AI are known for being “black boxes” that are so opaque they restrict our ability to understand what factors went into a decision. As accountability and explainability become increasingly important in this digital age, a company’s reputation stands to suffer enormously if their algorithms are shown to be biased read more...

Two-thirds of experts believe AI will make humans better off overall, finds Pew study

A study conducted by Pew this summer gathered interviews from 979 technology experts including innovators, developers, policy and business leaders, researchers, activists and other pioneers regarding the future of AI. Participants were asked to opine on how our increasing dependence on networked artificial intelligence would affect read more...

Humans should merge with AI to avoid being overtaken, says Elon Musk

In a recent HBO interview with Axios co-founders Jim VandeHei and Mike Allen, Elon Musk said he believed it will be necessary for humans to merge with AI.  Calling on the analogy of what humans have done to other primates, reducing their populations and forcing them to live in cages, he warned that as AI gets smarter, it will eventually overtake biological intelligence and gain the potential to destroy humanity. read more...

Ethical uproar as Chinese scientist creates world’s first gene-edited babies

A professor at the Southern University of Science and Technology in Shenzhen, China recently announced he has succeeded in creating the world’s first genetically altered babies.  The project was carried out while He Jiankui was on unpaid leave from the university, who claim they were not aware of his research. read more...

Affective computing and the emotion economy: "Trust" takes on a whole new meaning

The futurist Richard Yonck first coined the term “emotion economy” to describe the network of emotionally intelligent devices that is revolutionizing the technological world as we know it – and with it, the way we conduct business. Emotional data is becoming an essential tool in creating more effective advertising and forging read more...

Lexus’ latest ad was written by AI: Should we be worried?

A teary-eyed Lexus Takumi Master Craftsman bids farewell to his beloved work of art, a new Lexus ES.  The car makes a short journey along a picturesque coastline and arrives at a sinister-looking testing centre.  Heart in his mouth, the man watches on TV as the car undergoes a crash test.  Seconds before crashing into the back of a truck read more...

The real problem of AI won't be the power-crazed androids: it will be the biased algorithms

Stop worrying about The Matrix and start worrying about what happens when a bunch of middle-aged white men get to decide what’s fed to our AI technology. Fei Fei Li, the inventor of the ImageNet image recognition technology that became one of the fundamental building blocks of AI, recently warned that while the dangers of AI read more...