Regulation

Facts, Analysis and Comment.

Developing Issues

Here are some notes on regulatory issues that are beginning to cause concern. Please send me further information and articles etc. which might help other readers keep track of developments.

Gene Editing

CRISPR technology is now widely available. A Mississippi dog breeder has been given permission to use gene editing to fix a mutation that makes Dalmations prone to kidney disease. The US FDA is trying to keep abreast of the technology without stifling innovation. But future biohackers may have less acceptable objectives, including terrorism.

Self-Driving Cars

Lots of interesting issues here. Autonomous vehicles seem certain to be much safer (on average) than those controlled by humans. But will we hold them to higher standards? In particular:

Follow this link to read about the psychology involved in our attitude to Risk and Regulation.

Technology Giants

Companies such as Google/YouTube, Airbnb and Uber benefit from strong network effects - the phenomenon through which their services become increasingly attractive as more people use them, to the extent that it becomes near impossible for any other company to compete. They are then subject to little pressure to remain efficient, or to innovate, or to be good corporate citizens. Uber, for instance, is said to have 'tended to barrel into new markets by flouting local laws, part of a combative approach to expand globally'. According to the New York Times, Uber developed an app which ensured that city officials were not able to book a car and so scrutinise the service.

But the companies' huge size and international makes it near impossible for any regulator to tackle them with any prospect of success, partly because their businesses are so complex and partly because their resources enable them to out-gun all but the most persistent and well-funded regulators.

There is a related issue in that Google/YouTube, Facebook, Twitter etc. claim to be mere platforms, passively hosting content that they are unwilling to assess. In practice, their algorithms to some extent choose what their readers see, and the companies are financed by advertising, much like traditional media companies. They distribute fake news and other attention-grabbing content, regardless of its quality, veracity or decency, including material which encourages terrorism. The companies claim that it would be too technically complex to tackle the problem, but this is unconvincing. They have shown themselves to be adept at addressing copyright violation when it suits them. And there is no reason why they should be exempt from the 'free speech' limitations that apply to the rest of us, and to other media companies.

The FT carried this interesting report in in April 2017:

Facebook blamed human error for its failure to remove dozens of images and videos depicting child pornography after they were flagged to the company. The Times newspaper reported that it had alerted the social media giant, using a dummy Facebook profile, to potentially illegal content that was posted on to its website by users, including images of an allegedly violent sexual assault on a child and cartoons of child abuse. The British newspaper accused Facebook of failing to remove many of the images but the company said this was because of human oversight and that its reviewers should have spotted that the content should be removed. ...“We are always looking for other ways to use automation to make our work easy, but ultimately content review is manual,” said Monika Bickert, ‎head of global policy management at Facebook in a past interview with the Financial Times.

This is a clear admission of failure of quality control. I have no doubt that most media organisations would have run into severe trouble - and probably been prosecuted - if they had behaved like Facebook. But I am not aware that any formal action has yet been taken against the company.

Later that month, a man killed his daughter and then himself whilst live-streaming his actions on Facebook Live. Again, the company's attitude seemed to be that its customers' wish to view live video outweighed any moral or other pressure that the content should be pre-approved. Presumably nothing will change unless and until someone prominent is killed by someone seeking Facebook fame.

There is also the danger that algorithmic news poses a risk to democracy as 1.2 billion daily Facebook users, for instance, mainly listen to louder echoes of their own voices - the so-called filter bubble. But Facebook’s relatively modest efforts to curb misinformation have been met with fury on the right, with Breitbart and The Daily Caller fuming that Facebook had teamed up with liberal hacks motivated by partisanship. If Facebook were to take more significant action, like hiring human editors, creating a reputational system or paying journalists, the company would instantly become something it has long resisted: a media company rather than a neutral tech platform. Facebook’s personalisation of its news feeds would perhaps be less of an issue if it were not crowding out every other source – but as a result it is at least  clear that Facebook must be responsible for finding solutions to its problems.

The Gig Economy

Information technology is facilitating new ways of ordering goods and services to be delivered to the door, including books (and much more) from Amazon, taxis (in particular from Uber), food etc. (from supermarkets), and meals (Deliveroo etc.).This is to be welcomed. (See for instance 'The Ridesharing Revolution' .) But it is also facilitating new ways of employing those who prepare and deliver those goods and services. They can be required to enter into contracts under which

These arrangements can be tax efficient for both 'employer' and 'employee' and they suit many individuals very well. But the government's attempts to remove the excessive tax benefits also catch the genuinely self-employed, who arguably do deserve the tax breaks. And it is far from clear that the one-sided contracts are in the long term interests of the individuals or society.

See also my web page commenting on weaknesses in HMRC.

Algorithms

There is a bit of a theme running through some of the above issues. Modern technologies and algorithms cut costs and facilitate activities (such as internet searches and autonomous driving) which would otherwise be impossible. But they remove human involvement from the decision-making. For algorithms, all decisions are binary:- a big contrast (in the UK at least) from our tradition of having law enforcement moderated by human police officers, jury-members and judges. Katia Moskvitich commented, with some force, that 'our society is built on a bit of contrition here, a bit of discretion there'. Follow this link for a further discussion of this subject.

And then there is the related issue that algorithms are written by humans, who will almost certainly (though accidentally) import their own false assumptions, generalisations, biases and preconceptions. How easy is it to challenge decisions made by such algorithms?

Neuroscience

We have all grown up believing that, although our physical behaviour can easily be constrained and dominated by others, our minds, thoughts, beliefs and convictions are to a great extent beyond external constraint. As John Milton said "Thou canst not touch the freedom of my mind". But advances in neural engineering, brain imaging and neuro-technology mean that the mind may soon not be such an unassailable fortress. Elon Musk and others are developing tools such as

This suggests that we will, at the very least, require improvements to laws around data analysis and collection. But some scientists argue that human rights law will need to be updated to take into account the ability of governments not only to peer into people's minds but also alter them.

 

Martin Stanley