\nMelissa Heikkil\u00e4, AI correspondent for the Financial Times, conducted the interview with Elizabeth Reid. They spoke further about the AI \u200b\u200bOverviews feature, its main goal, and how it has changed the internet search landscape. Reid also addressed some controversial topics, such as the accuracy of AI-powered results or the negative impact on traffic and revenue that some publishers report.
\nIf you\u2019re not familiar with AI Overviews, they are results that, in a brief summary, attempt to offer a more direct answer to your search or question. They don\u2019t appear in every search, but they do appear in many. The feature\u2019s early days were rocky due to unreliable or even potentially dangerous results. However, Google has been working hard ever since to make AI Overviews truly useful. Today, we can say they\u2019ve succeeded. There\u2019s still room for improvement, though.
\nHow have things been going since the launch of AI Overviews?
\nThe interviewer begins by asking Reid about how the last year has gone since the launch of AI Overviews in Google Search. According to the executive, everything is going smoothly. Changes to the search engine are driving more search queries from users. She points out that the way people ask questions has changed significantly.
\nPreviously, users only received the classic results in the form of websites related to their search. However, they had to manually compile information from multiple sources. This led people to view Google Search as a utilitarian tool more than anything else.
\nNow, AI Overviews is able to understand queries (or prompts) in natural language. The power of artificial intelligence allows the search engine to understand direct user questions and provide even more direct and concise answers accordingly. Reid asserts that this change has significantly increased human curiosity. People now ask many more questions than before, not only for utilitarian purposes but also to solve simple day-to-day doubts or obtain new knowledge. Being able to ask more specific and detailed questions is extremely helpful.
\n\u201cA three-year-old will go: \u2018Why, why, why, why, why?\u2019 But, as an adult, you don\u2019t assume the person you ask the question knows the answer. You don\u2019t know if you have enough time. You don\u2019t know if it\u2019s worth the effort. And so you don\u2019t ask those questions. But if you lower the barrier to asking the question, then people just come. They have a lot more questions and they ask anything these days.\u201d
\nIs Google thinking about a conversational experience for Search?
\nHeikkil\u00e4 also touched on the changes that tools like ChatGPT have brought to the way we interact with technology. She points out that people have become accustomed to chatbots. That is, they are increasingly comfortable asking questions as if they were talking to another person. So, the interviewer asks if Google Search will adopt similar capabilities.
\n\u201cWe\u2019re not looking in that direction in the same way: to the extent that somebody will think of a chatbot as talking to something that feels personified and you can ask it, \u2018How was your day?\u2019 then expect a response,\u201d Reid said. She thinks that Google Search should remain an information-focused tool.
\nHer answer makes sense, especially considering that Google already has AI-powered products that offer a conversational experience\u2014like Gemini Live. That said, the company has been working toward a middle ground with Google Search\u2019s AI mode. This mode enables a chatbot-like UI. However, the focus remains on AI-powered summaries, leaving the classic links in the background\u2014although you can still check them out.
\nGoogle Search\u2019s AI mode has some advantages over more conversational experiences. For example, it allows you to ask follow-up questions to a previous query.
\nAre Google\u2019s AI Overviews results really accurate?
\nHeikkil\u00e4 also wanted to talk about the accuracy of Google\u2019s AI Overviews in the interview. She recalled past episodes of misleading results. She cites as an example some outputs where AI Overviews suggested things like eating rocks or glue.
\nAccording to Reid, these problems arose for two main reasons. First, Google intended for AI Overviews to be enriched with other people\u2019s personal experiences when appropriate. However, the company\u2019s systems initially didn\u2019t correctly detect jokes, like ironic or sarcastic comments, on platforms like Reddit, where they are very common.
\nThe second problem was the errors inherent to generative AI. No matter how much effort developers put into a product, all AI will always have a small percentage of misleading output. This is known in the AI \u200b\u200bworld as \u201challucinations.\u201d Developers must work to minimize the rate of hallucinations. Currently, AI Overviews are much less prone to this type of misleading output than before.
\nReid also had an interesting point to make about AI tools. She stated that developers must choose whether they want their service to be factual, creative, or conversational. Chatbots typically combine these properties to varying degrees. Therefore, developers must carefully balance what they\u2019re looking for with their AI platform. For example, in the case of Google Search, the factual aspect takes on special importance. However, on platforms like Character AI, creativity should ideally be the primary aspect.
\n\u201cIf you\u2019re building a product that\u2019s designed to be conversational, you might weigh it one way. But in the case of [Google] Search, we\u2019ve weighted factuality and put extensive work into that. We\u2019ve continued to raise the bar on that for the past several months,\u201d Reid stated.
\nIs AI Overviews prone to AI jailbreaking?
\nHave you ever heard of AI jailbreaking? It\u2019s a technique that seeks to bypass platform security barriers through specially designed prompts. There are also situations where websites integrate \u201chidden code\u201d that seeks to manipulate AI-powered search results. Heikkil\u00e4 asked the head of Google Search how the company handles this.
\n\u201cFrom a security perspective, on the prompting side, everyone is working to figure out how to avoid jailbreaking or finding loopholes that make AI models bypass their guardrails. We\u2019re doing that,\u201d Reid responded. \u201cOur models are trained not just to try and be highly accurate, but to try and base their answers on information on the web.\u201d
\nThat said, Reid also noted that users should pay attention to what they get in their searches, especially if it\u2019s important stuff. The AI \u200b\u200bOverviews feature makes this easier by providing links to where the information was obtained to generate the summaries. This way, people can check the accuracy of the output firsthand.
\n\u201cAI Overviews aren\u2019t designed to be a standalone product. They are designed to get you started and then help you dive deeper. And so, when it\u2019s important, the idea is that you get some context on where to check and then you can choose to double-check more on some of them.\u201d
\nWhat about seemingly reliable results with small errors undetectable by many?
\nRegarding the precision of the results of AI Overviews, the interviewer asked the head of Google Search about those outputs with small errors that are undetectable for people without certain knowledge about a specific area. That is, misleading results that users may take as true. In some cases, these could be potentially dangerous, such as when seeking medical advice.
\n\u201c[Regarding] questions of finance, questions on medical topics \u2014 we try to be thoughtful in our answers about both. Maybe we should not give a response at all or where we think we can give you something to get started, but we should recommend you talk to a doctor, dig in more and find out details,\u201d Reid stated. She says this approach is necessary because not everyone has the opportunity to consult a professional.
\n\u201cSo, if you said, \u2018I\u2019m not going to answer anything, even some basics about a rash,\u2019 and you\u2019re a stressed mother and it\u2019s the middle of the night, and you can\u2019t reach someone in some part of the world, do you not help them?\u201d
\nIs AI Overviews taking views from websites?
\nThe interview touched on a controversial topic regarding Google Search\u2019s AI Overviews feature. Some publishers have complained of fewer visitors\u2014and therefore, revenue\u2014after the system\u2019s implementation. After all, it reduces the need for users to visit web pages unless they want to dig deeper into the topic or verify the accuracy of the output.
\nAccording to Reid, AI Overviews is actually a great opportunity for publishers. As mentioned earlier, AI Overviews\u2019 understanding of natural language is exponentially multiplying users\u2019 interest in asking questions. This, according to the executive, offers exposure to a greater variety of websites through links related to the output.
\n\u201cWhat you see with something like AI Overviews, when you bring the friction down for users, is people search more and that opens up new opportunities for websites, for creators, for publishers to access. And they get higher-quality clicks,\u201d Raid said.
\nWill Google Search ever be paid?
\nHeikkil\u00e4 even asked if we\u2019ll ever see a paid version of Google. The question is interesting, since Google has long been known for being completely free. However, companies may have to rethink some business models in the era of AI, where developing and training models can cost hundreds of millions of dollars.
\n\u201cNever say never about what the future will hold,\u201d Reid said. \u201cEnsuring that search in general, the essence of it, is available for free, to allow access to information, will be important. There may be some aspects for people who have subscriptions in the future. But we want to have the core of search available to everyone for free, yes.\u201d So, even if Google Search receives paid \u201cpremium\u201d features, the core experience will remain free.
\nWill Google explore more search methodologies in the future?
\nLastly, Heikkil\u00e4 also asked Reid about the future of online search. More specifically, she mentioned potential new approaches or search modalities.
\nReid said that Google\u2019s main goal is to simplify the search experience as much as possible for everyone. To achieve this, they see the potential use of integrating multimodal capabilities\u2014that is, using voice, images, or multimedia to generate searches. It\u2019s not surprising that Google already has similar capabilities. However, she could be referring to implementing them in a more powerful way, supported by the power of AI.
\nThe head of Google Search also envisions a future where the search experience is more personalized. That is, where results are adapted to your user profile. AI\u2019s \u201clearning\u201d capabilities seem ideal for achieving something like this.
\nYou can read the full interview at this link.
\nThe post Head of Google Search discloses AI Overviews’ secrets in interview appeared first on Android Headlines.
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\nSource: ndroidheadlines.com <\/p>\n","protected":false},"excerpt":{"rendered":"