Meet the new Rai: the AI chatbot designed and powered by journalists

Imagine consuming trillions of data points, and then someone comes along after you gain all of this knowledge to fine-tune it. ChatGPT uses GPT technology, and Gemini initially used LaMDA, meaning they’re different “under the hood.” This is why there’s some backlash against Gemini. People expect Gemini to be GPT, but that’s not the intent of the product.

Eventually they tend to malfunction, degrade, and potentially even collapse, rendering AI useless, if not downright harmful. When such degraded content spreads, the resulting “enshittification” of the internet poses an existential threat to the very foundation of the AI paradigm. In conclusion, AI chatbots have emerged as powerful tools in fighting misinformation and conspiracy theories. They offer scalable, real-time solutions that surpass the capacity of human fact-checkers. Delivering personalized, evidence-based responses helps build trust in credible information and promotes informed decision-making. About a year after signing a landmark executive order to place guardrails on the use and development of AI, President Joe Biden released another piece of the administration’s AI policy.

Supporting quality news and fresh content may require other forms of investment or incentives. While human operators naturally vary in their approach, AI-driven systems ensure uniformity in responses, further reinforcing customer confidence in service reliability. With an increase in global communication, the continuous availability and efficient handling of customer interactions have become paramount.

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They use AI and Natural Language Processing (NLP) to interact with users in a human-like way. Unlike traditional fact-checking websites or apps, AI chatbots can have dynamic conversations. They provide personalized responses to users’ questions and concerns, making them particularly effective in dealing with conspiracy theories’ complex and emotional nature.

Here, for example, there was an interesting study relatively quickly that extreme premature births and stillbirths were reduced during the lockdown. As in everything Rappler does, Rai is also covered by Rappler’s corrections policy. Users may report errors to A team will assess to find the cause of the mistake.

In the meantime, students and faculty are using a host of strategies to fight back, including open letters, public records requests, critical education and refusals to work on research and development for harmful AI applications. More fundamentally, the struggle against corporate-backed AI is also a struggle against the privatization of universities more broadly, which has dramatically limited the power of self-governance in higher ed. Let’s not miss an opportunity to turn this latest wave of AI hype and hysteria, which will surely dissipate, into an occasion to shore up power over our learning and working conditions. This includes demanding more control over our labor, so often the source of the very “intelligence” that AI is used to extract. OpenAI’s chat bot, ChatGPT, powered by an LLM, is increasingly being integrated into higher ed classrooms despite documented forms of neocolonial labor exploitation and its tendency to reproduce hegemonic worldviews (among a host of other ethical issues).

These chatbots use advanced NLP algorithms to understand and interpret human language. When a user submits a statement or question, the chatbot looks for keywords and patterns that match known misinformation or conspiracy theories. In that case, the chatbot cross-references this claim with a database of verified information from reputable sources like the WHO and CDC or independent fact-checkers like Snopes.

British Government Trials AI Chatbot for Business Support

As a result, the systems and their outputs embed, reinforce, and regurgitate dominant values and ideas and replicate and reinforce biases, some obvious and others not. The AI industry is running short of the kind of data it needs to make bots smart. It’s estimated that within the next couple of years the demand for human-generated data could outstrip its supply. Meta has added several new features to the chatbot since its initial debut last year.

At stake is the future of AI search—that is, chatbots that summarize information from across the web. If their growing popularity is any indication, these AI “answer engines” could replace traditional search engines as our default gateway to the internet. You can foun additiona information about ai customer service and artificial intelligence and NLP. While ordinary AI chatbots can reproduce—often unreliably—information learned through training, AI search tools like ChatGPT App Perplexity, Google’s Gemini, or OpenAI’s now-public SearchGPT aim to retrieve and repackage information from third-party websites. They return a short digest to users along with links to a handful of sources, ranging from research papers to Wikipedia articles and YouTube transcripts. The AI system does the reading and writing, but the information comes from outside.

Google’s AI Overviews were launched earlier this year as part of the company’s effort to revamp its all-powerful search tool for an online world being reshaped by artificial intelligence. For some search queries, the tool, which is only available in certain countries right now, gives an AI-generated summary ChatGPT of its findings. The tool pulls the information from the internet and gives users the answers to queries without needing to click on a link. Some AI companies, to be sure, are finding ways to scrape or steal data from news and other quality publications despite the technical and legal obstacles.

ChatGPT listened to my directions, reiterated them to me, showed me a makefile for the robots.txt, and then explained the parameters to use. While some of the underlying responses are similar, the new formatting and added thoroughness were a welcomed addition. Caching is briefly mentioned in Claude’s response, but when I prompted it for more about caching, it provided an extensive list of information. Claude’s answers are all pretty solid, and I appreciate how it mentions several types for optimization that are a little more in-depth, such as using viewpoint meta tags. The information is solid, and I appreciate that Google uses more formatting and bold parts of the responses to make them easier to read.

The team has put in place a number of other guardrails to ensure — in the best possible way — that Rai behaves. This is apart from constraints in its design that limits its data sources to trusted and curated facts. Ontologies are ways to structurally describe a subject matter in a way that machines will eventually understand.

Hilton Hotels & Resorts implemented an AI-enabled screening tool and saw its time-to-hire drop from 42 days to just 5 days, an 88% decline. L’Ore´al used AI-enabled screening tools and the time to review a resume dropped from 40 minutes to 4 minutes, a reduction of 90%. Hotel companies such as Hilton are constantly trying to find and hire staff. If Hilton can make an offer to a housekeeping job candidate in 5 days and its competitor takes 42 days, it is a loss for the latter in this battle.

Clearly, advances in AI depend critically on humans continuing to create a high volume of new fact-based and creative knowledge work that is not the product of AI. This relationship suggests that a grand bargain is needed by both sides that redresses the imbalance of power between human creators and the corporations exploiting work. Yet these deals don’t really solve AI’s long-term sustainability problem, while also creating many other deep threats to the quality of the information environment. For another, such deals help to hasten the decline of smaller publishers, artists, and independent content producers, while also leading to increasing monopolization of AI itself. As the AI Now Institute observed, those with the “widest and deepest” data advantages will be able to “embed themselves as core infrastructure.” Everyone else just winds up as vassals or frozen out.

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Nvidia, which builds some of the most highly sought-after GPUs in the AI industry, has announced that it has released an open-source large language model that reportedly performs on par with leading proprietary models from OpenAI, Anthropic, Meta, and Google. You can try Claude for yourself through the Anthropic website, as well as the Claude Android and iOS apps. It is free to use, supports image and document uploads, and offers access to the Claude 3.5 Sonnet (new) model. The company also offers a $20-a-month Pro plan that grants higher usage limits, access to Claude 3 Opus and Haiku, and the Projects feature, which fine-tunes the AI on a specific set of documents or files.

• As these trends continue, the need for effective tools to combat misinformation is more urgent than ever.
• The study found that the industries that were least protected from bots were some of the ones dealing with the most sensitive data.
• One of the retailers we work for, the sales data is so isolated in different business units and a portion of it gets centralized.

Simply put, that’s because to make bots smart you need to feed them high-quality data created by humans. Indeed, for bots to approach anything like human intelligence, they need both massive quantities of data and quality data produced by actual humans. And as it happens, we are running low on such data and will run out all the faster if AI puts more human content creators out of business. Believe it or not, in some companies AI is used as an interviewer too.

“We are fundamentally changing how humans can collaborate with ChatGPT since it launched two years ago,” Canvas research lead Karina Nguyen wrote in a post on X (formerly Twitter). She describes it as “a new interface for working with ChatGPT on writing and coding projects that go beyond simple chat.” On the other hand, there is plenty that other chatbots can do that Claude can’t. For example, Claude does not offer an equivalent to OpenAI’s Advanced Voice Mode, so you’ll have to stick with your text and image prompts. The AI is also incapable of generating images, like ChatGPT does with Dall-E 3. In October, Anthropic released a slightly improved version of 3.5 Sonnet, dubbed Claude 3.5 Sonnet (new), alongside the release of the new Claude 3.5 Haiku model.

This flexibility gives companies a significant edge in managing larger volumes of customer interactions efficiently. First of all, it must be emphasized once again that the goal should actually be to have a database that is not biased. However, if it is discovered that there are systemic distortions, various approaches can be taken to reduce them. For example, synthetic data sets can be generated and underrepresented population groups can be supplemented with realistic data. In addition, new methods are still being developed as this problem is common and challenging.

• For example, Claude does not offer an equivalent to OpenAI’s Advanced Voice Mode, so you’ll have to stick with your text and image prompts.
• For example, synthetic data sets can be generated and underrepresented population groups can be supplemented with realistic data.
• The EU imposed similar obligations through copyright reform, while the UK has introduced broad competition powers that could be used to enforce bargaining.
• Spectrum-X allows large numbers of GPUs to communicate more smoothly with one another, as traditional networks can get bogged down with too much data.
• The AI industry should use this narrow window of opportunity to build a smarter content marketplace before governments fall back on interventions that are ineffective, benefit only a select few, or hamper the free flow of ideas across the web.

What is so powerful about Ontologies is that they make it possible to establish relationships between specific concepts and data points. This includes relationships between people, organizations, places, and other themes and topics. The BBC is one media organization that organizes its content using ontologies. The bot is designed to provide source articles and links for responses it generates.

But now that generative AI systems have the power to leverage many sources of data for more robust analysis, data governance—which many companies may not have done very well—takes on new significance. I talked to Lakshmikant (LK) Gundavarapu, chief innovation officer at data science solutions provider Tredence about how generative AI has escalated the need for data organization. Troy Nichols, assistant safety director at Ogden, Utah-based contractor Wadman Corp. and a Safety AI user, said in the release he likes the extra set of eyes. “I’m not at the project every day so when I receive the Safety AI reports, I’m able to reach out to the project team so we can discuss the activities that are in progress and determine what we need to do to get any safety risks taken care of,” he said. To mitigate such bias predictions by AI, companies can use various toolkits that promote fairness in the AI training itself.

Hermansson logged in to Google and began looking up results for the IQs of different nations. When he typed in “Pakistan IQ,” rather than getting a typical list of links, Hermansson was presented with Google’s AI-powered Overviews tool, which, confusingly to him, was on by default. Meta and Reuters subsequently confirmed the news without disclosing the deal’s terms. They often emerge during uncertainty and change, offering simple, sensationalist explanations for complex events. These narratives have always fascinated people, from rumors about secret societies to government cover-ups. In the past, their spread was limited by slower information channels like printed pamphlets, word-of-mouth, and small community gatherings.

“There is evidence that Lynn systematically biased the database by preferentially including samples with low IQs, while excluding those with higher IQs, for African nations,” Sears added, a conclusion backed up by a preprint study from 2020. A WIRED investigation confirmed Hermanssons’s findings and discovered that other AI-infused search engines—Microsoft’s Copilot and Perplexity—are also referencing Lynn’s work when queried about IQ scores in various countries. AI-infused search engines from Google, Microsoft, and Perplexity have been surfacing deeply racist and widely debunked research promoting race science and the idea that white people are genetically superior to nonwhite people.

And they include the huge and growing societal cost of letting AI companies steal that content from its rightful owners and strip-mine society’s creative ecosphere. Competition authorities should also investigate whether data partnerships violate antitrust law. Deals struck by dominant AI firms often contain provisions that could be illegal under long-standing antitrust statutes because they magnify monopoly power. This includes tying the use of one product, like access to content, to exclusive use of another product. An example is Microsoft’s deal with the publisher Axel Springer, which gives Microsoft access to the global publisher’s content but also requires that Axel Springer use Microsoft’s cloud services.

Haiku is a smaller, and more lightweight version of the model that’s designed to perform simple and repetitive tasks more efficiently. Anthropic released the first iteration of Claude in March 2023 and quickly updated it to Claude 2 four months later in July 2023. These early versions were rather limited chatbot training dataset in their coding, math, and reasoning capabilities. That changed with the release of the Claude 3.0 family — Haiku, Sonnet, and Opus —  in March 2024. Opus, the largest of the three models, handily beat out GPT-3.5, GPT-4 and Gemini 1.0 (all of which were the state of the art at that time).