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ESG Frontiers: Artificial intelligence: The rise of the responsible robots

ESG Frontiers: Artificial intelligence: The rise of the responsible robots

Far from the evil cyborgs of science fiction, AI is emerging as a sustainable investment theme

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From Terminator to Blade Runner and The Matrix, stories of a world where computers break free from their human creators and take over the world have always captured our imagination.

But reality could soon surpass those tales of the tyranny of almighty cyborgs.

Certain limited relief can be found in the new book by James Lovelock, the legendary scientist behind the Gaia hypothesis.

Coinciding with his 100th birthday, Lovelock has just published Novacene: The Coming Age of Hyperintelligence.

His vision of the future is this: the current ‘Anthropocene’ age is nearly over. The Novacene is about to come, a new epoch dominated by intelligent electronic beings, which they will have designed and built themselves from our current artificial intelligent systems.

The code of life would no longer be written just in DNA, but also in other codes based on digital electronics and instructions yet to be invented.

He writes: “As a chemist, I would love to see how life in the Novacene constructs itself from the Earth’s array of elements. Instead of solar cells, think of trees connected directly to the electricity grid.”

A European Coalition of AI Investors
Inadvertently, the world of finance is already paving the way for the Novacene. Signs of how to channel capital to such a new epoch in a responsible fashion are emerging under ESG considerations, as well as ethical investing red lines.

Like its sister the High-level Expert Group (HLEG) on Sustainable Finance, the European Commission set up an HLEG on AI.

Just a couple of weeks ago, it published a report with policy and investment recommendations for a “trustworthy” AI, which followed on its ethics guidelines released last April.

The HLEG-AI says investments in the EU should increase by at least €20bn per year in the next decade so as to not miss out on the promised benefits of AI.

That figure could arguably overlap with the annual €180bn over the same period that the EC estimates is needed to decarbonise the economy, especially if AI technologies can contribute to delivering on the Paris Agreement targets.

One HLEG-AI recommendation is for the creation of a European Coalition of AI Investors. It also calls on Europe to “champion the use of AI towards sustainable development in line with the UN Agenda 2030” as well as Sustainable Development Goals to measure AI’s societal impact.

The main HLEG-AI’s principles (“AI is not an end in itself, but a means to enhance human wellbeing and freedom”) are closer to the current ‘Anthropocene’ than to Lovelock’s Novacene.

Nonetheless, there are already some cutting-edge examples of AI in the investment industry.

Japan’s Government Pension Investment Fund (GPIF), the world’s largest pension pot, commissioned research from Sony CSL on the use of AI for asset manager selection, cautious of the imbalance between high fees and low returns.

Naori Honda, a spokesperson for GPIF, tells Responsible Investor that the initial findings of this study, in its first phase, have not so far been used in manager selection.

“We are now in the second phase [of the research]. So far the team at Sony CSL analysed the trading data for domestic equities and they are working on foreign equities,” Honda says.

But could it be possible that AI is used not just to select managers but to replace them altogether?

Yuval Noah Harari, the best-selling author of Sapiens and Homo Deus, wrote in the latter book about the case of an algorithm that was appointed to the boardroom of a venture capital firm.

This algorithm, called VITAL (Validating Investment Tool for Advancing Life Sciences), helped Deep Knowledge Ventures to evaluate investments in biotech start-ups back in 2014.

Dmitry Kaminskiy, co-founder and managing partner, tells RI that VITAL is by today’s standards a very basic AI system, but at the time, it served its purpose.

Given that nine out of 10 biotech start-ups fail, VITAL showed good results in detecting red flags and even displayed some levels of “over protection”, according to Kaminskiy.

“It helped to understand the practical limitations and applications of AI, and allowed us to very clearly define hype versus reality in the AI sector itself,” he says.

Kaminskiy’s subsidiary firm Deep Knowledge Analytics also produces research on the AI friendliness of publicly traded companies.

He says that by 2022, AI should be able to allow corporations to analyse financial parameters, deliver insights and audit reports to board members, shareholders and government authorities.

By 2024, Kaminskiy foresees such systems being appointed “independent entities to the board of directors” of progressive corporations that “wish to be transparent and maximally responsible towards their shareholders”.

He adds: “Perhaps in some progressive technocratic countries it will be required by law that government organisations, financial institutions and pension funds have such AI systems, which will report to the public the current situation inside the organisation.”

A common objection to AI board members centres on who has responsibility for machines’ decisions.

However, Lord Hodge, Justice of the UK Supreme Court, has entertained the idea of giving a machine separate legal personality, similar to the way that English law allows for an office occupied by a natural person to be a ‘corporation sole’.

Delivering a lecture on the potential perils of FinTech last March at the University of Edinburgh, he said:

“The law could confer separate legal personality on the machine by registration and require it or its owner to have compulsory insurance to cover its liability to third parties in delict (tort) or restitution. And as a registered person, the machine could own the intellectual property that it created.”


Responsible AI engagement and investment themes
When it comes to ESG investing and AI, there are two main considerations to bear in mind. First, AI can be an investing theme in its own right, identifying the companies that are in the business of developing such technologies. And secondly, there’s the exposure of any given portfolio company to AI.

“Most companies do not have a good understanding of their overall AI footprint,” Christine Chow, Director at Hermes Equity Owner Services, tells RI.

Hermes EOS has recently published a report on investors’ expectations on responsible artificial intelligence and data governance, which summarises a year’s worth of engaging companies on this topic.

“The application of AI is not specific to tech companies. The value chain of AI could be very long and we are asking companies to understand at the group level where AI is deployed,” Chow says.

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