Tag Archives: Artificial intelligence

Should Robots Be Built To Feel Pain?

My latest article on Impakter, just published, about AI and how we should organize our future with sentient machines. Should we build them to feel pain and other emotions? What is the point of it? What are the dangers?

 Neku – Robot Lover Song (Featuring Aline) in Youtube video

What is the role of pain in our lives?  Pain, we can all agree, is unpleasant, both physically and emotionally. Pain acts as an alarm when faced with danger. Pain can be excruciating, tragic, the forerunner of death. In short, when we feel pain, we feel more alive than ever. Now that robots play an increasing role in our society, should we design robots as sentient machines with the ability to feel pain?  

Robots are everywhere in manufacturing, in agriculture, in transport and distribution, in communications, in the home. And they appear not just as androids like the famous science fiction author Isaac Asimov visualized 75 years ago, but in a vast range of devices, from autonomous vacuum cleaners to whole factory production lines and military drones.

Arguably, it might make sense to endow some of them with the capacity to feel pain in situations where it could help the machine foresee a threat and save itself from possible damage. But should it be endowed with merely a series of physical reactions demonstrating pain or should it feel it as an emotion the way we humans feel it?

When a machine feels pain, will it cry?

Or an equally valid question: should it cry?

The question of whether robots should feel pain may sound futile, but it’s not. With advances in computing power, particularly with quantum computing just around the corner, we are close to being able to create robots with General Artificial Intelligence. Not just a specific ability like beating human champions at difficult games like chess and Go, but a “general” intelligence that could lead soon to the dreaded Singularity, the point where Artificial Intelligence will surpass human intelligence.

In short, we are headed towards a world where science fiction meets reality, where our planet hosts two types of “sentient machines”, us and the robots.

How to Organize a World full of Sentient Machines

Scientists have been working on this for several years, notably Beth Singler  and Ewan St John Smith, both at Cambridge University.

Read the rest on Impakter, click here

Find out about our future with robots. Should love and sex be part of it? Let me know what you think!

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Filed under Digital Revolution, Economics, politics, science fiction, Sociology, Tech

Universal Basic Income: Why It’s Not The Solution


My latest article on Impakter, here’s the start:

M-Pesa station in Kenya, 2019. This mobile service greatly facilitated GiveDirectly’s experiment

It’s become conventional wisdom that technological progress destroys jobs but also creates new ones balancing out the loss after a painful period of adjustment. Painful for those out of a job who are too old or unable to learn new skills. It’s also conventional wisdom that with the tech revolution unleashed by Silicon Valley, this time will be different. That the jobs destroyed by Artificial Intelligence (AI), by computers and robots, will never be replaced. Tech entrepreneurs, like Elon Musk, Mark Zuckerberg and Sam Altman in the lead, and a growing number of politicians and social scientists, are however confident that they have a solution: Universal Basic Income (UBI).

Is UBI really a solution? And how serious is the disruption caused by automation of tasks and are most jobs left for humans only the low-paid ones in personal services? Is there another, better solution?

Here, I will argue that the disruption is not likely to be as devastating as predicted in most current studies with scary titles like “How The Robots Will Take Away Your Jobs and Kill The Economy”. And in any case, there’s another, better solution than UBI: Supplementary income to top up the difference and make non-automated jobs pay better. Call it: Utility-Added Income (UAI) – because it would recognize the utility (the value, the usefulness) to the whole community of jobs that are undervalued by the market in an AI-filled world, like personal services, nurses, care-givers, teachers.

So, in an AI-filled world, are we facing a devastating disruption in the job market, with permanent unemployment for the majority of humans? To be fair, not all tech titans and artificial intelligence experts think a tech Armageddon is around the corner.

One famous scientist, Fai Ku Lee, thinks otherwise. He developed the world’s first speaker-independent, continuous speech recognition system as his Ph.D thesis at Carnegie Mellon. This is a man worth listening to, he knows what he’s talking about, he once worked for Apple and Google and is now a successful Chinese venture capitalist based in Beijing, helping China become a leader in AI. He is also a best selling author and in the closing section of his latest book, AI Superpowers: China, Silicon Valley, and the New World Order, he explains how  creativity and compassion are the key to creating lasting and non-replacement jobs in an AI-filled future.

The Explosion in UBI Experiments

Fai Ku Lee’s reassuring words notwithstanding, people are in a panic. There is a plethora of UBI experiments around the world, as this map (updated to 3 April 2019) illustrates:


UBI experiments in progress and planned around the world April 2019

In the U.S., UBI research is fast becoming serious business. Four Stanford graduate researchers are currently setting up a platform to map UBI research that should come online soon in 2019. The aim, as they explain,  is “to provide pertinent summaries of articles, research papers, books produced on UBI to date, highlighting important findings from each and ensuring that core areas such as health, crime, stigma, childhood poverty and gender equity are covered”.

There is even a UBI Cities Toolkit called Basic Income In Cities: A Guide to City Experiments and Pilot Projects. Launched in early November 2018 at the National League of Cities annual meeting, the toolkit highlights emerging practices and shares insights on the process of designing UBI experiments “in ways that are ethical, rigorous, informative and consequential for local and national policymaking”.

Unquestionably, even if some people like Fai Ku Lee see a silver lining in the AI revolution, most experts do not and the world is on a UBI research binge.

The most advanced experiments are in Finland and Kenya. Let’s take a look at both. Note that I’m not including here the “redditto di cittadinanza” (citizen’s income) that the populist Italian government started distributing last month because  it hasn’t been set up as a UBI experiment with a control group. It’s merely political pork to fill a 5 Star Movement electoral promise. But even the best of UBI experiments have not given satisfactory results, and here’s why.

What’s Wrong with UBI Experiments

To find out what’s wrong with UBI and what my proposed solution is, please go to Impakter, click here. If you have a minute to write a comment either here or on Impakter, please do, I’d love to hear what you think!

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Filed under Economics, Sociology, Tech

The Race for Artificial Intelligence: China vs. America

My latest article on Impakter:

What is The Role of Europe in the AI Race?

Let’s be clear, Artificial Intelligence, in particular in its latest development, deep learning that mimics the way the human mind works, first emerged in America. This gave the U.S. a huge head start over the rest of the world – including China, putting the U.S. firmly in the lead of the race for AI.

In the photo: Electronics factory in Shenzhen. Note that the photo dates back to 2005: Chinese investment in electronics is nothing new. Source: Wikipedia

IWhat Americans didn’t develop at home, they bought from Europe. In this respect, two British firms stand out with groundbreaking contributions to AI development: ARM and DeepMind.

While all eyes are trained on the AI race between China and America, is there a role left for Europe?

From the start of the digital revolution, and in spite of America’s lead, Europe has always had a fundamental role in digital research, a role often overlooked and even downplayed by the media mesmerized by Silicon Valley fireworks.

But the fireworks are dying down and getting messy now while China is on the rise.

America’s AI Roots in Europe

Let’s take a closer look at ARM and DeepMind, the two British firms that played a fundamental role in sustaining America’s lead in electronics.

Read the rest on Impakter, click here.

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Filed under Digital Revolution, politics