Tim Berners-Lee on the future of the web

Sir Tim Berners-Lee’s optimism about the future of the web is starting to wane in the face of a “nasty storm” of issues including the rollback of net neutrality protections, the proliferation of fake news, propaganda and the web’s increasing polarisation.

The inventor of the world-wide-web always maintained his creation was a reflection of humanity – the good, the bad and the ugly. But Berners-Lee’s vision for an “open platform that allows anyone to share information, access opportunities and collaborate across geographical boundaries” has been challenged by increasingly powerful digital gatekeepers whose algorithms can be weaponised by master manipulators.

“I’m still an optimist, but an optimist standing at the top of the hill with a nasty storm blowing in my face, hanging on to a fence,” said the British computer scientist.

“We have to grit our teeth and hang on to the fence and not take it for granted that the web will lead us to wonderful things,” he said.

The spread of misinformation and propaganda online has exploded partly because of the way the advertising systems of large digital platforms such as Google or Facebook have been designed to hold people’s attention.

“The system is failing. The way ad revenue works with clickbait is not fulfilling the goal of helping humanity promote truth and democracy. So I am concerned,” said Berners-Lee, who in March called for the regulation of online political advertising to prevent it from being used in “unethical ways”.

Since then, it has been revealed that Russian operatives bought micro-targeted political ads aimed at US voters on Facebook, Google and Twitter. Data analytics firms such as Cambridge Analytica, which builds personality profiles of millions of individuals so they can be manipulated through “behavioural micro-targeting”, have also been criticised for creating “weaponised AI propaganda”.

“We have these dark ads that target and manipulate me and then vanish because I can’t bookmark them. This is not democracy – this is putting who gets selected into the hands of the most manipulative companies out there,” said Berners-Lee.

Click to expand...

...
1) We’ve lost control of our personal data
...
As our data is then held in proprietary silos, out of sight to us, we lose out on the benefits we could realise if we had direct control over this data, and chose when and with whom to share it. What’s more, we often do not have any way of feeding back to companies what data we’d rather not share – especially with third parties – the T&Cs are all or nothing.
...
But even in countries where we believe governments have citizens’ best interests at heart, watching everyone, all the time is simply going too far.
...
2) It’s too easy for misinformation to spread on the web
(no recommendation)
...
3) Political advertising online needs transparency and understanding
...
These are complex problems, and the solutions will not be simple. But a few broad paths to progress are already clear. We must work together with web companies to strike a balance that puts a fair level of data control back in the hands of people, including the development of new technology like personal “data pods” if needed and exploring alternative revenue models like subscriptions and micropayments. We must fight against government over-reach in surveillance laws, including through the courts if necessary. We must push back against misinformation by encouraging gatekeepers such as Google and Facebook to continue their efforts to combat the problem, while avoiding the creation of any central bodies to decide what is “true” or not. We need more algorithmic transparency to understand how important decisions that affect our lives are being made, and perhaps a set of common principles to be followed. We urgently need to close the “internet blind spot” in the regulation of political campaigning.
...

Click to expand...

Solid is an exciting new project led by Prof. Tim Berners-Lee, inventor of the World Wide Web, taking place at MIT. The project aims to radically change the way Web applications work today, resulting in true data ownership as well as improved privacy.

What does Solid offer?

Solid (derived from "social linked data") is a proposed set of conventions and tools for building decentralized social applications based on Linked Data principles. Solid is modular and extensible and it relies as much as possible on existing W3C standards and protocols.

At a glance, here is what Solid offers...

Click to expand...

...
“Q: Can algorithms be explained? Why or why not? What are the challenges?
A: It is not always possible to interpret machine learning and algorithmic models. This is because a model may use an enormous volume of data in the process of figuring out the ideal approach. This in turn, makes it hard to go back and trace how the algorithm arrived at a certain decision.”
...
A case in point, and we welcome input of SIGAI, is the central role of artificial neural networks (NN) in machine learning and deep learning. In what sense is a NN algorithmic? Toward the goal of algorithmic transparency, what needs to be explained about how a NN works? From a policy perspective, what are the challenges in addressing the transparency of a NN component of machine learning frameworks with audiences of varying technical backgrounds?
...
The application development procedure is algorithmic in a general sense, but the more important point is that assumptions and biases are involved in the design and implementation of the NN. The choice of data, and its relevance and quality, are eminently important in understanding the validity of a system involving machine learning. Thus, the transparency of NN algorithms, in the technical sense, might well be explained, but the transparency and biases of the model and implementation process are the aspects with serious policy consequences.

Click to expand...