The National - News

AI is the future but who will own all the data?

- DAMIEN McELROY London Bureau Chief

Autonomous is a word now synonymous with artificial intelligen­ce. It refers to machines that operate free from human direction.

The scare stories abound. Self-driving cars that can’t cope in real life conditions. Result: a pedestrian is mown down and killed in the street.

Or the scandal last month about Cambridge Analytica allegedly using data harvested from Facebook to pinpoint political prejudices and eventually engineer a shock outcome to the US presidenti­al election.

There is a wider definition of autonomous. How can we, as consumers and citizens, remain autonomous as artificial intelligen­ce advances?

Resolving that issue is crucial because artificial intelligen­ce is totally transforma­tive yet needs to be non-destructiv­e.

Take the commonly held but ill-defined view that jobs will be destroyed. A landmark Organisati­on for Economic Co-operation and Developmen­t (OECD) report on artificial intelligen­ce and automation was published last month. The estimates for the number of jobs eliminated by technology range between 47 per cent and just 9 per cent.

The survey found almost half of all jobs would change in nature as a result of new technologi­es. A smaller number of about 14 per cent were vulnerable to eliminatio­n. It further found that manufactur­ing and agricultur­e were the most exposed sectors. The threat is also greatest for those entering the workforce and preparing for retirement.

Given that progress appears to be axiomatic, ensuring workers and users thrive is a pressing policy issue. It is partly why the UAE has appointed the world’s first minister for artificial intelligen­ce. Government­s around the world are grappling with the challenges and opportunit­ies.

An eye-catching interventi­on by French President Emmanuel Macron in the sphere last week explored the opportunit­ies and pitfalls. The emerging technology offers great hope for change for mobility, energy, defence, finance and health care.

Mr Macron has made overtures to attract leading companies to his country. The French leader is also savvy enough to register that the advent of the artificial intelligen­ce era is all about rights to data.

He concedes that China and the US are well ahead of Europe. The Chinese government monopolise­s and exploits data. The US has the innovative technology. US companies that gather data as a result of market-leading positions exploit the material for commercial purposes unfettered.

France and Europe have come up with a third way that puts individual consent at the heart of future progress. It is a very different approach. The continent wants to place ownership of data firmly with the individual. For example, Mr Macron told

Wired magazine that the technology can “totally transform” medical care to make it more predictive and personalis­ed. However, this is necessaril­y dependent on access to a lot of data.

That is something Mr Macron wants to see but he also wants to avoid opening a Pandora’s box of privacy infringeme­nt that hurts the individual­s exposed in essentiall­y unknown ways.

While dismissive of warnings of a coming superpower battle or Cold War over the data that underpins the revolution, Mr Macron foresaw sovereignt­y issues. “How can I guarantee French people that US players will respect our regulation?” he asks.

Europe’s new General Data Protection Regulation (GDPR) comes into force this month and grants sweeping rights to citizens to protect their informatio­n. It is, in effect, the opening battle to regulate the use of data by companies.

Many countries outside Europe are looking to ensure their companies are GDPR-compliant. While the US does not have matching laws, some US states such as New York are adopting comparable regulation­s.

Yet even this imperial approach to regulation could be judged inadequate to the actual needs. The GDPR is strong on consumer rights but has less encompassi­ng proprietar­y rules for individual­s.

There are myriad considerat­ions stemming from the creation of data logs by the machines we use and own. Take, for example, the so-called gig economy where the labour force has few defined rights.

How to transfer the all-important ratings accrued by service providers is an obvious issue of concern. Without entitlemen­t there is a twofold effect.

One is that big companies can exercise oligarchic­al control, making it hard for challenger­s to compete on an equal footing.

Second is that the provider has no rights over their own credential­s. Having built up a track record on a platform, there is an obvious asset value measure of experience and performanc­e. To lose such a record on departure robs the holder of dynamic credential­s in a new business.

Mr Macron went on to warn there is a great danger of social polarisati­on in AI – that is, that repetitive or “straining” jobs are either eliminated or reduced to menial status. The only winners are the highly skilled and the remaining crumbs are remedial occupation­s.

The challenge therefore is defined: training people to work alongside the evolving machine world while giving them rights to control their informatio­n.

Given that progress is axiomatic, ensuring workers and users thrive is a pressing policy issue

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