At a time when the appetite for facts-at-a-glance has never been greater, Google has made a more substantial impact with a new stage in its AI Overviews. It is now available in six new countries: India, Japan, Mexico, Indonesia, Brazil, and the United Kingdom.
At the centre of this expansion is the language barrier, here tackled at the very core of the technology: by extending AI Overviews’ support to vernacular languages as well as English, Google ensures that this technology will be available to more people, no matter the language they speak. But it’s a history of mishaps that reminds us that introducing such an advanced tool has its own set of challenges: think of the advice to eat rocks or to glue pizzas.
This is, after all, Google, and it knows that new markets present new challenges. Accordingly, it has developed a ‘red‑teaming’ strategy: that is, imaginatively finding means of misusing search results in a given language, or having that query misinterpreted for bad reasons. The goal is not just to build a high-quality search engine in the requisite languages but to make this machine-learning system resistant to abuse. Hema Budaraju, Google’s senior director of product management for Search, says that it’s difficult to achieve this quality across languages.
And here’s one of the most visible changes to AI Overviews: source links. Placed on the right of each AI-written response, they lead users away from the article into a blackhole of AI-written summaries The links are about transparency. But they can also change the nature of trust, by sending users out of the content rather than keeping them engaged. What’s good for the publisher may not always be good for society.
And in line with the overarching goal – always improving, continually experimenting – Google is trialling links embedded in the text of the AI Overviews. Anyone who journeys into the testing ground of Search Labs can play around with Search Generative, that group of AI-assisted features, including this one. The experiment suggests that Google has more tweaking of the delivery of information to do.
Other experimental features, including the ability to save AI Overviews or even simplify the language of AI-generated answers for easier understanding, would not only fulfill what people want and expect, but would go above and beyond to give them a better experience. Enabling these abilities would make the internet more accessible, but it would also help users become less judgmental and more open-minded toward each other.
Go to Google, plug in the text, and you’d get an embedded link to the original website while reading its AI-generated summary. If Google wanted people to read summaries directly on its search engine results pages, it would make content creators anxious about losing eyeballs and engagement to AI paraphrases. A move like this would be a remarkable illustration of a search engine retaining selective morals, considering how native ads are now dominating Google’s revenue. Even its search algorithm, despite society’s demands to prioritise authentic, factual, well-written content, has instead favoured SEO optimisation and ‘linkspamming’. Google has often been accused of doing what benefits it and the end-users, not the in-betweeners. This time, Google seems to be thinking of the ecosystem in which it is immersed, seeking to benefit people other than the end-users – the content creators.
The ‘love letters’ they are writing are actually a reflection of the larger goals of AI that Google is championing in the world. Google is trying to ‘democratise information’ using a technology that truly does not depend on language or national boundaries. Consistent with these broader ambitions for AI, Google’s efforts in AI Overviews are ongoing. Like many new technologies, AI has stumbled in its transition from the lab to the real world. But these early ‘oops’ moments teach valuable lessons about how to dance with the devil – how to harness AI’s promise while adapting to the complex realities of life.
Not only does Google show little sign of slowing down its pace of innovation, but the company also shows signs of listening to feedback. One thing we can be certain of, as AI Overviews becomes more polished and prevalent, is that the way we read and interact with information on the web is about to change.
Underneath that, though, it’s not just a search engine – rather, it’s a portal; a portal to information, yes, but also a portal to the evolution of tools to enable that information to be accessed in more and more useful ways. The mission ‘to organise the world’s information and make it universally accessible and useful’ is as lofty as it is reasonable, as it makes no judgments on what is ‘good’ or ‘bad’ knowledge, but rather makes it all accessible to everyone everywhere. Google’s introduction and expansions of AI Overviews are extensions of the company’s commitment to innovation, as the introduction and expansion of new applications in search (which amounts to the creation of new ways to understand information, and which forms a major part of the evolution of modern culture) are continuously being refined, always developing the ability to walk more and more directly to precise ideas with fewer coincidental distractions en route. By creating these increasingly accessible, relevant and efficient avenues for accessing information, Google is not just impacting the evolution of search, but the evolution of the human way of accessing information generally.
© 2024 UC Technology Inc . All Rights Reserved.