One Suggestion for Keeping AI Companies in Check: Insurance
The rapid rise of generative AI has built a multibillion-dollar industry virtually overnight, but panelists at South by Southwest said large AI companies face less oversight than the businesses lined up outside of the Austin, Texas, conference.
"There's more regulation on a food truck than there is on this technology," Emilia Javorsky, director of the Futures Program at the Future of Life Institute, said during a panel at SXSW on Monday.
"Part of that is because we understand the food truck more than we understand this technology," noted Daniel Kokotajlo, a former safety researcher at ChatGPT maker OpenAI who left the company in 2024 to speak out about the need for additional safety and transparency in the industry.
The meteoric rise of artificial intelligence and the complexity inherent in the technology make it particularly difficult to craft rules and guardrails beyond the political considerations of getting something done.
But there are plenty of ideas, including one from Harvard law professor Lawrence Lessig: requiring AI developers to carry insurance.
"It's really important that we understand regulation doesn't destroy, it enables, if it's smart," Lessig said on stage at the panel.
The idea of "trust" has been on the minds of many speakers on artificial intelligence at SXSW, with experts worrying not just about the science fiction-sounding potential of superintelligence, but also about the practical everyday implications of bias and errors in more rudimentary products like chatbots.
The question is how to ensure every AI developer is building that trust. AI safety is a topic that companies know they need to address. Just witness the pages dedicated to it at OpenAI, Google, Microsoft, Anthropic, Adobe and elsewhere.
Javorsky suggested a regulatory structure not unlike that around the development of prescription drugs: think a Food and Drug Administration for AI. Most of the resources used in developing drugs go toward proving they are safe, creating trust in those products once they make it to the market. When consumers feel a product is safe, they are less apprehensive about using it.
"Even from the perspective of someone who just wants to see AI flourish as an industry, safety is something you should care about," Javorsky said.
Kokotajlo and Lessig have both pushed for whistleblower protections for workers at AI companies. Existing whistleblower laws protect workers who call out illegal activity, but many potentially dangerous activities involving new technologies like artificial intelligence are legal. There simply are not laws on the books for these kinds of things.
Lessig said the European Union's AI regulations are too complicated and don't force companies to do the right thing by default.
"I think instead we have to develop a serious conversation about the minimal viable product of regulation," he said. "The minimal viable product is to build incentives inside of these companies to behave in the right way."
Lessig said requiring AI developers to carry insurance would create market incentives for responsibility. Insurance companies would establish rates based on how risky the company products and behaviors are, meaning it would be more expensive to make products that lack sufficient guardrails.
Insurance coverage requirements exist in other contexts to put a price, essentially, on risky and irresponsible behavior. Think of how car insurance rates go up if you have a poor driving record and down if you have a safe driving history.
"It'll be crude initially, and then you'll have some insurance companies that come out and think about how to market price it differently," Lessig told CNET after the panel. "That's the kind of incentive we need to create, that kind of competitive influence to determine what exactly is the safety risk that they need to be ensuring for."
An insurance requirement would not solve everything, Lessig said, but it would create some incentives for companies to develop robust and accountable safety requirements as they push for smarter and smarter AI systems.
"Insurance is, for me, the thing that's addressing the basic runaway risk concern that this is going to cause huge damage to society," he said.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
32 minutes ago
- Yahoo
Here's Why Shopping Agents Might Have a Difficult Time Pulling Brands' Products for Consumers
Agentic AI and AI-based shopping assistants continue to capture brands, retailers and consumers' attention. But many brands and retailers may not be prepared for such a shift. While AI-based shopping assistants, like ChatGPT's new shopping function, are set up to crawl brands and retailers' sites, AJ Ghergich, vice president of consulting services at Botify, said the format of standard e-commerce sites aren't easy for agents and AI systems to ingest information from. More from Sourcing Journal Amazon Reportedly Tests Humanoid Robots for Parcel Delivery Levi's Marks Three-Year Streak of Strong E-Commerce Growth Macy's, Dick's Sporting Good Partner Grabs $44M Series B For Worker Safety Tech That's because many sites—including those built on Shopify—display product information to consumers via JavaScript, a programming language used frequently in e-commerce to load dynamic product description pages (PDPs). But AI agents and backend systems struggle to pull real-time information from websites running exclusively JavaScript. While JavaScript can help enhance the e-commerce experience for consumers searching directly on a brand or retailer's site, it might pose a new problem for brands and retailers as some consumers begin their shopping journeys using public AI systems, like ChatGPT. Many agents can't 'see' JavaScript in the way that humans can. Ghergich said to help brands understand that, Botify has been showing clients how little AI can actually see. 'One of the first things we're doing [with clients] is saying, 'OK, let's look at your site with JavaScript turned off. That's what the AI is seeing,'' he said. AI systems can crawl some generic information from JavaScript, but because the data is most often unstructured, it's difficult for them to contextualize anything about the product—the price, whether it's in stock and other important considerations. Without that information, the system is less likely to present a brand or retailer's product to a consumer, because it's unable to determine whether it fits the consumer's query parameters. Ghergich said the technology powering the shopping assistants isn't yet strong enough to parse through unstructured data with ease. 'These bots are akin to the early days of search bots, and they can't parse this dynamic nature of modern sites yet. They probably will be able to in the near future, but today, they're blind to it,' he said. To ensure products are included in results generated by chatbots, Ghergich and Botify suggest that brands use structured data by enabling a JSON or XML format. Typically, these formats give bots crawling the web a better chance at understanding the data, particularly when paired with a schema, which helps define subsections of the data. In using a schema, a brand or retailer can tell a bot crawling that when it uses 'price' as a label, that's indicative of how much the item costs, for example. So, a schema is how the data is labeled, and JSON or XML are how the data is stored. Ghergich said combining these approaches won't be too tedious for retailers and brands. 'The cool thing about structured data is, once you set it up, it's literally a schema. It can go across all of your products at once, so it's one of the ultimate quick wins in technical SEO,' he said. 'You set up the schema, and now you've done 50,000 of an [action]. It goes across all of your products at once, and it's not something that you have to go page by page and manually do; it's dynamic.' Ghergich said the next step will be better adding product details that address consumer intent—rather than simply attributes. That's because product search queries—particularly via large language models (LLMs)—continue to become longer, providing more details about why a consumer wants a specific item, rather than keywords about what they want. For example, if a retailer had previously described an item as 'midi floral dress,' they may add data into the backend that signals how a consumer might want to wear that dress—to a summer wedding, or on vacation. Updating product description pages with better intent may seem like a daunting task for fashion and apparel purveyors with ever-changing seasonal assortments, but Ghergich noted that it doesn't have to be done all at once—just that the transition needs to start sooner, rather than later. 'Start with your best sellers. Make sure they have those FAQ modules. Make sure that you're thinking about the customer intent in a conversational tone,' he said. 'Today's shopping journey increasingly begins with AI, not you. So if you're invisible to an AI assistant, it means you're invisible to the customer, full stop.'
Yahoo
33 minutes ago
- Yahoo
New York Becomes First State to Require Employers Disclose When Layoffs Are Due to AI
If you lose your job as part of mass layoffs at your company because your boss believes an artificial intelligence model can do your work instead, they will have to start filing more paperwork disclosing the decision. That is according to a new law in New York state that requires employers to disclose if mass layoffs — which is defined as 50 or more workers — were due to AI. The change to New York's Worker Adjustment and Retraining Notification (WARN) system went into effect in March, but has received little coverage since then; Bloomberg was the first major outlet to report on the change on Thursday. Now, employers have to fill out a form at least 90 days before a mass layoff round, according to New York law, and check a box if the cuts are due to 'technological innovation or automation.' If that box is checked, the employers then go to another screen on the WARN website where they have to specify whether AI or another technology is the reason for the cuts. New York is the first state with such a law. Other states have looked to put safeguards in place against AI replacing workers, including in California, which had a law go into effect at the start of 2025 which protects actors from having their likeness used by AI models without informed consent; California also passed a similar law last year that requires the estates of dead actors and performers to give clearance for AI models to use their likeness. The new law in New York comes as AI's rapid rise has led to questions over which jobs are safe in a number of fields. This has been an issue in the media world as of late, where a number of outlets, like Axel Springer and News Corp. have signed content licensing deals with OpenAI, the parent company of ChatGPT. Editorial staff at some outlets have said they are concerned about newsrooms growing too cozy with AI models; the Vox Media Union, for example, called for protections to be put in place for writers at outlets like New York Magazine and The Verge so that their jobs would not be taken by AI bots. That concern is a common one in the U.S. A Pew Research Center survey earlier this year found 52% of Americans were 'worried' about AI in the workplace, compared to 36% who said they were 'hopeful' about it. The post New York Becomes First State to Require Employers Disclose When Layoffs Are Due to AI appeared first on TheWrap.


Entrepreneur
41 minutes ago
- Entrepreneur
Why Knowing Your Customer Drives Smarter Growth (and Higher Profits)
What if the secret to skyrocketing your sales and customer loyalty is already in your data? Opinions expressed by Entrepreneur contributors are their own. It's one thing to have an idea of who your customers are. But it's quite another to actually know them. The more companies learn about their target audience — whether through purchase data, reviews, focus groups or other methods — the better they'll be positioned to unlock growth. Thanks to AI adoption in marketing and the availability of more industry and consumer-level data than ever before, companies have never been in a better position to know their customers in a way that drives smarter growth and higher profits. Related: How Understanding Your Customers Can Help You Create Copy That Sells Provide more personalized customer experiences The main purpose of knowing your customer is to better understand their needs and why they would make use of your products or services. One of the most obvious examples of this comes from Amazon's personalized product recommendations, which suggest goods related to an item that a customer is considering. These suggestions are drawn directly from the company's own data based on what other customers have purchased, as well as the individual's history. Amazon's data-driven model has become a powerful element in driving growth and additional sales among its existing customers. As far back as 2013, "also bought" recommendations accounted for 35% of Amazon's sales. The success of this model has played a major role in positioning Amazon as the go-to online retailer for so many customers, causing other retailers to attempt to replicate this design. Understanding your customers can also be applicable in less retail-oriented settings. For example, a report from BuzzRx found that women aged 30-39 filled the most mental health and ADHD prescriptions in the United States out of any demographic. For healthcare providers, understanding the higher prevalence of these conditions in this age group (as well as which prescriptions are most commonly filled) can lead to higher-quality care. While not necessarily profit-related, this personalized support can help healthcare providers retain patients and provide better care. Tailor your messaging appropriately Knowing your customer also enables smarter marketing that is likely to result in higher sales. By understanding customer needs and preferences, marketers can ensure that their campaigns will reach the right people, on the right platforms, with the right type of messaging. If any one of those three factors is off, your marketing budget could go to waste. Furthermore, by gaining a deep understanding of your target audience, you can adjust your messaging and tactics as needed as circumstances change. For example, during the height of the pandemic, Lowe's released a commercial highlighting various ways that suburban parents could turn their backyard into a fun place to spend quality time, even as pandemic-related closures limited traditional summer plans like going to the movies or visiting the beach. By understanding how customers might be feeling when they were spending more time at home, Lowe's and its rival Home Depot saw significant sales growth during the early days of the pandemic. Targeted marketing that understands audience pain points can result in a massive lift on your advertising return on investment. In fact, 74% of customers report being more likely to stick with brands that they feel understand them and provide relevant communications. This only happens when you learn more about your customers. Guide your product development Finally, businesses that understand customer preferences can use that information to improve their products and services. Savvy businesses take customer feedback very seriously, whether in the form of complaints or even recommendations for a product, service or new features that could meet additional needs. This can also be true when a product or service doesn't resonate with your customer base. In an interview with CNN, former Nintendo of America President, Reggie Fils-Aimé, was quick to note that the failure of the company's Wii U console was a direct contributor to the success of its follow-up — the Nintendo Switch. Aside from making improvements to the design of the system itself, Fils-Aimé also referenced how the company learned the importance of providing a "crystal clear" value proposition to differentiate the console, as well as a steady flow of games. The lessons learned from what previously did not resonate with customers have led to the Nintendo Switch selling over 150 million units to date. Whether you are refining an existing product or developing new offerings that will better meet market demands, knowing your customer can drive more innovative and customer-oriented product development. This will, in turn, make your products more desirable to your target audience, creating higher sales potential. Related: Customers Are Changing – Is Your Business Ready? Knowing your customers is a competitive advantage Truly knowing your customers can provide a powerful competitive advantage in any industry. By using your knowledge of your customers to offer more personalized, higher-quality experiences, adjust your marketing and even guide product development, you can build an ecosystem that increases customer satisfaction and loyalty. Remember, acquiring a new customer can be five to 25 times more expensive than keeping your existing customers. With greater knowledge of your customers, you'll be able to keep your current base and drive more purchases, while also being able to acquire new customers in a more cost-effective way.