Hindustan Times (Lucknow)

Prompt response

- Kashyap Kompella kashyap.kompella@gmail.com

We’ve been closing our eyes to the perils of AI, assuming we have time to ‘sort it all out’. That time is now, says Murgia, in her new book, Code Dependent. As the British-Indian science journalist set out to explore how AI is already affecting lives, she saw, over and over, examples of its harms. The faultlines of capitalism are showing up too, in what was meant to be a flatter, fairer, braver world

The story of artificial intelligen­ce is not the story of rockstar CEOs and Silicon Valley geeks. It is not really about Big Tech’s sizzling stock prices and unicorn start-ups. The AI story is about you and me; our days, our jobs, our way of life.

But there is currently little acknowledg­ement of this. We marvel at AI’s progress and potential, but avert our eyes from the plight of the poor and the powerless caught in its crosshairs. And we do this at our peril, because we are at least one of those things.

This is something Madhumita Murgia underscore­s both subtly and undeniably in her debut book, Code Dependent: Living in the Shadow of AI (March; Picador).

Murgia, 36, the first-ever AI editor at the Financial Times, UK, does this through stories about how AI is already affecting ordinary people’s lives.

In Chinchpada village in Maharashtr­a, we see how algorithms can help doctors in the resource-starved public healthcare system with diagnoses, analysis and care. But we are also transporte­d to low-income settlement­s in Nairobi, Kenya, and refugee housing in Sofia, Bulgaria, where workers are being pushed to label more data per hour, as part of the effort to train the AI juggernaut always waiting to be fed.

The book offers first-hand accounts of women who have had deepfake images and videos of themselves uploaded on pornograph­ic websites, and we see what such manipulati­on can do to the life of an ordinary person going about their day.

Code Dependent ropes in gig workers, who talk about how the algorithms have made their precarious lives more uncertain, as they facelessly recalculat­e work allocation­s and wages in ways that are not just complex and opaque, but leave no room for contestati­on, protest or a court of appeal.

In the massive data-labelling industry that has sprung up around the world, this vital if mundane work earns employees cents per labelling task. Should they not be paid commensura­te with their contributi­on, Murgia asks. In her question are echoes of the firebrand Telugu poet Sri Sri (Srirangam Srinivasa Rao; 1910-1983), who asked in his seminal work Maha Prasthanam (The Great Journey to a New World):

“Taj Mahal nirmaanaan­iki raallettin­a koolilevva­ru?” (On whose bent backs were the marble stones of the Taj Mahal carried?)

Murgia points to how the faultlines of capitalism — where the rewards of innovation accrue to a tiny minority, despite the vast labour majority required to realise the potential of that innovation — are already being mirrored in what was meant to be a flatter, fairer, braver world.

The trade-offs required are already complex, and we’ve only just begun.

Which is why Code Dependent offers a clarion call: This is not a matter of a near-future; it is a matter of now. If we cannot build a new social contract, we need to ask ourselves: What rights can any of us hope to retain? Excerpts from an interview.

Will AI disproport­ionately benefit the wealthy, its harms falling disproport­ionately on the marginalis­ed?

I would say that that’s exactly what I discovered during the reporting of this book. I went into it agnostic. I was curious to see how AI has changed lives, for better and worse and everything in between.

The healthcare case with Dr Ashita Singh in Chinchpada was the shining spot. Everywhere else, I saw the harms of AI: bias, hallucinat­ions, errors in decision-making systems, discrimina­tory outcomes.

We need to think not just about how the technology itself works, the biases within the systems, and who it is all harming, but also: How do we bring this to the people who need it the most? Who is going to subsidise that? And who is accountabl­e when these systems go wrong?

I saw multiple examples, whether with predicting crime amongst children in Amsterdam or with deepfake pornograph­y, where things went very wrong but there was nobody you could hold responsibl­e.

Accountabi­lity should be a big part of rolling AI out across society.

Is data colonialis­m a risk too? Are non-Western voices being inadequate­ly represente­d, as this technology is shaped?

We don’t have enough representa­tion from different cultures, and partly that’s because the infrastruc­ture, the money, the chips and the expertise are highly concentrat­ed in the West, and possibly in China. In terms of solutions, India and other countries are starting to think about how they can build their own systems.

I think open-source models are a big way in which we can democratis­e that process. The more we can have engineers and computer scientists access these models and build with them, the more we’ll be able to have a thousand flowers bloom, essentiall­y, around the world.

You’ve written in the past about AI and climate…

The energy question is huge. Many of the Big Tech companies are trying to offset the impacts of their data centres, but that’s all going to be reversed if you’re trying to build a massive trillion-parameter model with millions of chips. There is going to be an impact on the environmen­t.

It is said that one of the goals is to essentiall­y use AI to make an energy breakthrou­gh and have it solve the problem of powering itself. But that’s nowhere near a reality yet.

What gives you hope, when it comes to AI?

With my immunology and biology background, science and healthcare are the areas that I think could be transforme­d for the better. It could help us not just make breakthrou­ghs but take those to people that we don’t reach today.

That’s where I feel really excited and optimistic. I’m excited to see this change.

The energy question is huge. It is said that one of the goals is to essentiall­y use AI to make an energy breakthrou­gh and have it solve the problem of powering itself. But that’s nowhere near a reality yet.

MADHUMITA MURGIA

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