#AI Chatbot For Business

[destinovaailabspvtltd]

How AI Chatbots Can Enhance Business Communication

In today’s fast-moving digital world, businesses are always looking for better ways to talk to their customers, answer their questions quickly, and build trust. One of the most helpful tools right now is an AI Chatbot For Business. It works like a smart assistant that can chat with people anytime, day or night. From saving time to improving customer satisfaction, AI chatbots are changing how companies interact with their audience.

[simplifysol]

AI chat bot for website | Simplify360

Simplify360’s AI chatbot for websites enhances customer engagement with instant, intelligent responses. It automates support, handles inquiries, and drives conversions 24/7. With seamless integrations and smart analytics, our chatbot ensures smooth interactions, improving user experience and business efficiency.

[expert-reviews-23]

Human AI Force Review: Revolutionizing Business with Lifelike AI Professionals

In today’s fast-paced digital world, businesses are constantly seeking innovative ways to streamline operations, enhance customer engagement, and boost profitability. Enter Human AI Force, a groundbreaking platform that promises to transform the way businesses operate by creating and deploying lifelike AI-powered professionals. From coaching and marketing to customer service and HR, Human AI Force claims to handle it all. But does it live up to the hype? Let’s dive in and explore what this platform offers, its strengths, and whether it’s worth your investment.

What is Human AI Force?

Human AI Force is an all-in-one platform that allows users to create, train, and deploy AI-powered human-like agents capable of handling a wide range of tasks. These AI agents can be customized to mimic your appearance, voice, and personality, making them an extension of your brand. Whether you need a sales expert, a customer service representative, or a marketing assistant, Human AI Force claims to deliver a seamless, human-like experience without the need for technical expertise.

Key Features and Benefits

Lifelike AI Agents: Human AI Force stands out with its ability to create AI agents that look, sound, and act like real humans. With voice cloning, accent customization, and emotional intelligence, these agents can engage customers in a way that feels personal and authentic.

No Tech Skills Required: One of the platform’s biggest selling points is its ease of use. You don’t need to be a tech wizard to create and deploy AI agents. The process is intuitive, with drag-and-drop functionality and pre-designed templates for various niches.

24/7 Availability: Imagine having a team of professionals working around the clock without breaks. Human AI Force enables you to deploy AI agents that can engage customers, generate leads, and close deals 24/7, ensuring you never miss an opportunity.

Multilingual Capabilities: Break language barriers with AI agents that can communicate in any language. This feature is a game-changer for businesses targeting global audiences.

Customizable and Trainable: The platform allows you to train your AI agents using URLs, PDFs, or documents, turning them into experts in sales, coaching, consulting, and more. You can also customize their appearance, tone, and behavior to align with your brand’s identity.

Real-Time Analytics: Track engagement, optimize conversions, and set specific goals for your AI agents using the platform’s real-time analytics dashboard.

Commercial License: Human AI Force offers a free commercial license, allowing you to create and sell custom AI agents to clients for 1,000+perproject.YoucanalsorentoutyourAIagentsfor1,000+perproject.YoucanalsorentoutyourAIagentsfor23+/hour, turning them into a 24/7 profit machine.

One-Click Embedding: Easily embed AI agents on websites, stores, funnels, blogs, or any platform with just one click.

No Monthly Fees: Unlike many SaaS platforms, Human AI Force requires no monthly payments, API costs, or hidden fees, making it a cost-effective solution for businesses of all sizes.

Pros

Ease of Use: The platform is beginner-friendly, requiring no technical skills.

Cost-Effective: No monthly fees or hidden costs make it an affordable solution.

Versatility: Suitable for a wide range of industries and use cases.

Profit Potential: The commercial license opens up opportunities for generating passive income.

Human-Like Interaction: The lifelike AI agents enhance customer trust and engagement.

Cons

Learning Curve: While the platform is easy to use, maximizing its potential may require some time and experimentation.

Limited Free Trial: There’s no free trial, so users must purchase the front-end product to test the platform.

Dependence on Internet: As with most AI tools, a stable internet connection is required for optimal performance.

Who is Human AI Force For?

Human AI Force is ideal for:

Entrepreneurs and small business owners looking to automate repetitive tasks.

Marketers and coaches who want to scale their operations without hiring additional staff.

Agencies and freelancers seeking to offer AI-powered services to clients.

Anyone interested in creating a passive income stream by renting or selling AI agents.

Final Verdict

Human AI Force is a revolutionary platform that brings the power of lifelike AI professionals to businesses of all sizes. Its ease of use, affordability, and versatility make it a compelling choice for anyone looking to enhance customer engagement, streamline operations, and boost profitability. While there’s a slight learning curve, the potential ROI far outweighs the initial effort required.

If you’re ready to take your business to the next level and stay ahead of the competition, Human AI Force is definitely worth considering. With its ability to create 24/7 autonomous AI agents that work tirelessly to grow your brand, this platform is a game-changer in the world of AI-powered business solutions.

Rating: 9/10 Human AI Force delivers on its promises, offering a powerful, user-friendly, and cost-effective solution for businesses looking to leverage AI technology. Whether you’re a solopreneur or a large enterprise, this platform has the potential to transform the way you operate.

Click Here To Grab Human AI Force Now >>

[insightfultrends]

My AskAI Review: The AI-Powered Customer Support Solution Businesses Need

My AskAI Review: The AI-Powered Customer Support Solution Businesses Need Introduction: Is My AskAI the Future of Customer Support? In today’s fast-paced digital world, businesses need quick, efficient, and cost-effective solutions to manage customer inquiries. Traditional customer support methods—like call centers and email tickets—often lead to long wait times, high costs, and frustrated…

[umenbot]

Empowering Every Industry with UMENBot. We infuse AI into your business. UMENBot is your gateway to embracing the future of Artificial Intelligence, opening new doors for growth and innovation

[shinobicyrus]

This is like someone made a wish on an Onion article to make it real:

When I saw Tess’s headshot, amid the giddiness and excitement of that first hour of working together, I confess I had a, well, human response to it. After a few decades in the human workplace, I’ve learned that sharing certain human thoughts at work is almost always a bad idea. But did the same rules apply to AI colleagues and native-AI workplaces? I didn’t know yet. That was one of the things I needed to figure out.

A 59-year old adult man saw an AI-generated image he prompted for a chatbot persona of an employee and the first thing he did upon seeing it was to wonder 'is it ok for me to hit on her?'

[vitelglobal]

As businesses, we know that providing exceptional #customerservice is crucial to building strong relationships & driving growth. But, are you using the right strategies to deliver #omnichannel customer service? Discover the benefits of omnichannel customer service, including increased #customersatisfaction, loyalty, & retention.

Check out our blog post to learn how: https://www.vitelglobal.com/blog/omnichannel-customer-service/

[artyone10]

300 ways to make money with chatgpt

[datapeakbyfactr]

AI’s Role in Business Process Automation

Automation has come a long way from simply replacing manual tasks with machines. With AI stepping into the scene, business process automation is no longer just about cutting costs or speeding up workflows—it’s about making smarter, more adaptive decisions that continuously evolve. AI isn't just doing what we tell it; it’s learning, predicting, and innovating in ways that redefine how businesses operate. 

From hyperautomation to AI-powered chatbots and intelligent document processing, the world of automation is rapidly expanding. But what does the future hold?

What is Business Process Automation? 

Business Process Automation (BPA) refers to the use of technology to streamline and automate repetitive, rule-based tasks within an organization. The goal is to improve efficiency, reduce errors, cut costs, and free up human workers for higher-value activities. BPA covers a wide range of functions, from automating simple data entry tasks to orchestrating complex workflows across multiple departments. 

Traditional BPA solutions rely on predefined rules and scripts to automate tasks such as invoicing, payroll processing, customer service inquiries, and supply chain management. However, as businesses deal with increasing amounts of data and more complex decision-making requirements, AI is playing an increasingly critical role in enhancing BPA capabilities. 

AI’s Role in Business Process Automation 

AI is revolutionizing business process automation by introducing cognitive capabilities that allow systems to learn, adapt, and make intelligent decisions. Unlike traditional automation, which follows a strict set of rules, AI-driven BPA leverages machine learning, natural language processing (NLP), and computer vision to understand patterns, process unstructured data, and provide predictive insights. 

Here are some of the key ways AI is enhancing BPA: 

Self-Learning Systems: AI-powered BPA can analyze past workflows and optimize them dynamically without human intervention. 

Advanced Data Processing: AI-driven tools can extract information from documents, emails, and customer interactions, enabling businesses to process data faster and more accurately. 

Predictive Analytics: AI helps businesses forecast trends, detect anomalies, and make proactive decisions based on real-time insights. 

Enhanced Customer Interactions: AI-powered chatbots and virtual assistants provide 24/7 support, improving customer service efficiency and satisfaction. 

Automation of Complex Workflows: AI enables the automation of multi-step, decision-heavy processes, such as fraud detection, regulatory compliance, and personalized marketing campaigns. 

As organizations seek more efficient ways to handle increasing data volumes and complex processes, AI-driven BPA is becoming a strategic priority. The ability of AI to analyze patterns, predict outcomes, and make intelligent decisions is transforming industries such as finance, healthcare, retail, and manufacturing. 

“At the leading edge of automation, AI transforms routine workflows into smart, adaptive systems that think ahead. It’s not about merely accelerating tasks—it’s about creating an evolving framework that continuously optimizes operations for future challenges.”

— Emma Reynolds, CTO of QuantumOps

Trends in AI-Driven Business Process Automation 

1. Hyperautomation 

Hyperautomation, a term coined by Gartner, refers to the combination of AI, robotic process automation (RPA), and other advanced technologies to automate as many business processes as possible. By leveraging AI-powered bots and predictive analytics, companies can automate end-to-end processes, reducing operational costs and improving decision-making. 

Hyperautomation enables organizations to move beyond simple task automation to more complex workflows, incorporating AI-driven insights to optimize efficiency continuously. This trend is expected to accelerate as businesses adopt AI-first strategies to stay competitive. 

2. AI-Powered Chatbots and Virtual Assistants 

Chatbots and virtual assistants are becoming increasingly sophisticated, enabling seamless interactions with customers and employees. AI-driven conversational interfaces are revolutionizing customer service, HR operations, and IT support by providing real-time assistance, answering queries, and resolving issues without human intervention. 

The integration of AI with natural language processing (NLP) and sentiment analysis allows chatbots to understand context, emotions, and intent, providing more personalized responses. Future advancements in AI will enhance their capabilities, making them more intuitive and capable of handling complex tasks. 

3. Process Mining and AI-Driven Insights 

Process mining leverages AI to analyze business workflows, identify bottlenecks, and suggest improvements. By collecting data from enterprise systems, AI can provide actionable insights into process inefficiencies, allowing companies to optimize operations dynamically. 

AI-powered process mining tools help businesses understand workflow deviations, uncover hidden inefficiencies, and implement data-driven solutions. This trend is expected to grow as organizations seek more visibility and control over their automated processes. 

4. AI and Predictive Analytics for Decision-Making 

AI-driven predictive analytics plays a crucial role in business process automation by forecasting trends, detecting anomalies, and making data-backed decisions. Companies are increasingly using AI to analyze customer behaviour, market trends, and operational risks, enabling them to make proactive decisions. 

For example, in supply chain management, AI can predict demand fluctuations, optimize inventory levels, and prevent disruptions. In finance, AI-powered fraud detection systems analyze transaction patterns in real-time to prevent fraudulent activities. The future of BPA will heavily rely on AI-driven predictive capabilities to drive smarter business decisions. 

5. AI-Enabled Document Processing and Intelligent OCR 

Document-heavy industries such as legal, healthcare, and banking are benefiting from AI-powered Optical Character Recognition (OCR) and document processing solutions. AI can extract, classify, and process unstructured data from invoices, contracts, and forms, reducing manual effort and improving accuracy. 

Intelligent document processing (IDP) combines AI, machine learning, and NLP to understand the context of documents, automate data entry, and integrate with existing enterprise systems. As AI models continue to improve, document processing automation will become more accurate and efficient. 

Going Beyond Automation

The future of AI-driven BPA will go beyond automation—it will redefine how businesses function at their core. Here are some key predictions for the next decade: 

Autonomous Decision-Making: AI systems will move beyond assisting human decisions to making autonomous decisions in areas such as finance, supply chain logistics, and healthcare management. 

AI-Driven Creativity: AI will not just automate processes but also assist in creative and strategic business decisions, helping companies design products, create marketing strategies, and personalize customer experiences. 

Human-AI Collaboration: AI will become an integral part of the workforce, working alongside employees as an intelligent assistant, boosting productivity and innovation. 

Decentralized AI Systems: AI will become more distributed, with businesses using edge AI and blockchain-based automation to improve security, efficiency, and transparency in operations. 

Industry-Specific AI Solutions: We will see more tailored AI automation solutions designed for specific industries, such as AI-driven legal research tools, medical diagnostics automation, and AI-powered financial advisory services. 

AI is no longer a futuristic concept—it’s here, and it’s already transforming the way businesses operate. What’s exciting is that we’re still just scratching the surface. As AI continues to evolve, businesses will find new ways to automate, innovate, and create efficiencies that we can’t yet fully imagine. 

But while AI is streamlining processes and making work more efficient, it’s also reshaping what it means to be human in the workplace. As automation takes over repetitive tasks, employees will have more opportunities to focus on creativity, strategy, and problem-solving. The future of AI in business process automation isn’t just about doing things faster—it’s about rethinking how we work all together.

Learn more about DataPeak:

[oraultima]

ORA ULTIMA 🆘 DeepSeek: un'IA cinese pronta a sbaragliare i colossi USA? Scopri perché! https://www.oraultima.com/intelligenza-artificiale-deepseek/

🆘 Una startup cinese, DeepSeek, ha sviluppato un chatbot AI che sta sconvolgendo il mercato. Con pochi chip, ha raggiunto prestazioni paragonabili ai colossi americani, mettendo in discussione il loro dominio. Ma quali sono le implicazioni di questa svolta? Visita il sito ORA ULTIMA per scoprire come DeepSeek sta cambiando le regole del gioco dell'intelligenza artificiale e quali sono le prospettive future. Cosa ne pensi di questa nuova sfida? Condividi la tua opinione!

❓E tu, Cosa ne pensi di questa nuova sfida? Condividi la tua opinione! Partecipa alla discussione sui nostri social! Commenta qui sotto 👇

💡Vuoi rimanere sempre aggiornato sulle ultime novità nel mondo dell'economia e della finanza? Visita ogni giorno https://www.oraultima.com/ per scoprire analisi approfondite, interviste esclusive e le notizie più importanti che stanno cambiando il mondo.

#oraultima #28gennaio #Nvidia #DeepSeek #AI #Cina #Nasdaq #tech #mercati #investimenti #tecnologia #socialmedia #privacy #economia #finanza #economy #finance #Italia #Notizie #money #news #notizie #business

[smsgatewayindia]

Best Practices for Creating WhatsApp Business API Chatbots | SMSGatewayCenter

Learn the best practices for designing effective WhatsApp Business API chatbots. A comprehensive guide to help businesses build engaging, secure, and customer-centric chatbots.

[destinovaailabspvtltd]

AI Chatbot for Customer Service: Enhance Support, Boost Satisfaction, and Improve Engagement 

Discover how Destinova AI Labs' AI Chatbot for Customer Service can transform your support experience! Our advanced chatbot technology enhances customer interactions by providing instant responses, personalized assistance, and 24/7 availability. Boost customer satisfaction and engagement while streamlining your operations. Embrace the future of customer service with our innovative AI solutions today!

[simplifysol]

How Reputation Management Tools Help Businesses Stay Ahead of Competitors

In today’s digital-first world, a company’s online reputation can make or break its success. With customers increasingly relying on reviews, ratings, and social media for purchasing decisions, managing your brand’s reputation is more important than ever. Reputation management tools offer businesses a powerful way to monitor and improve their public image, ensuring they stay ahead of competitors in an increasingly crowded marketplace.

The Role of Reputation Management Tools

A reputation management tool helps businesses track and improve their online presence by monitoring reviews, mentions, and feedback across various digital channels. Whether it’s a review site, social media platform, or customer feedback form, these tools centralize all this information in one place, allowing businesses to stay on top of their brand image.

By using reputation management tools, businesses can respond promptly to both positive and negative feedback. Timely engagement with customers builds trust and shows a commitment to improvement. In a competitive market, this kind of proactive reputation management can differentiate a brand from its competitors who may not be as responsive or diligent in addressing feedback.

Gaining a Competitive Edge with AI Chatbots

As competition in almost every industry continues to intensify, businesses are turning to AI chatbots for business to automate and streamline their customer interactions. An AI-powered chatbot can provide real-time support to customers, answer frequently asked questions, and even guide users through the purchase process. With these tools, businesses can ensure they offer a consistent, 24/7 experience for their customers.

From a reputation management perspective, chatbots can also help businesses gather real-time feedback on customer experiences, allowing companies to address issues before they escalate into negative reviews. By providing prompt and helpful responses, businesses can significantly improve customer satisfaction, thus enhancing their reputation and staying ahead of the competition.

WhatsApp Chatbots: Direct Communication with Customers

Another innovative tool that can aid reputation management is a WhatsApp chatbot. WhatsApp, with its massive global user base, has become a preferred communication channel for businesses and customers alike. Using a WhatsApp chatbot, businesses can interact directly with customers, offer support, and even resolve complaints in real-time. This direct line of communication not only improves customer service but also helps businesses manage their reputation more effectively.

A WhatsApp chatbot allows businesses to handle customer inquiries efficiently, ensuring that no request goes unanswered. This level of customer engagement fosters loyalty and trust, making it easier for businesses to retain customers. In contrast, competitors who lack such tools may struggle to offer the same level of personalized service, giving businesses with chatbots a clear advantage in terms of reputation and customer satisfaction.

Real-Time Feedback and Issue Resolution

One of the most significant advantages of using reputation management tools, along with AI chatbots and WhatsApp chatbots, is the ability to gather real-time feedback from customers. By actively monitoring customer sentiment and addressing concerns promptly, businesses can prevent small issues from turning into major reputation-damaging crises.

For example, if a customer leaves a negative review or expresses frustration on social media, businesses can use their reputation management tool to respond instantly. By offering a resolution quickly, such as a refund, exchange, or apology, companies can turn a negative experience into a positive one, showing their commitment to customer satisfaction. This level of responsiveness can be a game-changer in outpacing competitors who may not have the tools or the agility to address problems in real-time.

Staying Proactive, Not Just Reactive

Reputation management is not just about reacting to problems — it’s about staying proactive and shaping the narrative around your brand. By using reputation management tools in conjunction with AI-driven solutions like chatbots, businesses can anticipate customer needs and address potential issues before they become significant. Whether it’s acknowledging positive reviews or responding to negative feedback, maintaining a consistent and proactive approach is key to staying ahead of competitors.

Moreover, AI chatbots can help businesses gather valuable insights from customers, allowing them to improve products, services, and overall customer experience. This forward-thinking approach ensures that businesses not only stay ahead of their competitors in terms of reputation but also continuously improve their offerings to meet customer expectations.

Conclusion

In an age where online reputation is everything, businesses must take active steps to monitor and manage their public image. Reputation management tools, combined with AI-powered chatbots for business and WhatsApp chatbots, allow companies to stay on top of customer feedback, respond to issues in real time, and provide an unparalleled customer experience. This combination of automation and engagement gives businesses the competitive edge they need to thrive in today’s fast-paced digital world. By embracing these tools, businesses can build a strong, positive reputation that sets them apart from competitors and fosters long-term success.

[cyus-on-the-internet]

haha do you guys remember when AI was just a terms for how the computer players in video games did things haha takemebacktakemebacktakemeback

[aiinnovatorshub]

Hey everyone! 🌟

I wanted to share something pretty cool that I’ve been using lately: Omodore, an AI assistant that's really made a difference in how we do things at work. I thought I’d give you a quick rundown of my experience with it.

So, first things first, setting up Omodore was super easy. I’m not a tech wizard, but I managed to get everything up and running without any headaches. In no time, we had our AI assistant ready to help out with daily tasks.

One of the best things about Omodore is how it handles customer service. It’s like having an extra pair of hands (or a brain, really). It answers common questions, takes orders, and makes sure our customers get what they need quickly. It’s been a lifesaver, especially during busy times.

Our HR team has also found Omodore super helpful. It handles repetitive tasks like scheduling interviews and answering employee questions, which frees up time for more important things. This has improved our overall productivity and employee satisfaction.

And of course, data security is a big deal for us, and Omodore doesn’t disappoint. It uses strong security measures to keep our data safe, which is really reassuring.

All in all, Omodore has made our work life a lot smoother and more efficient. Whether you’re in customer service, HR, or other fields, Omodore has something to offer. If you’re looking to make things easier and more efficient at your workplace, I highly recommend giving Omodore a try. It’s more than just an AI assistant; it’s like having a super helpful coworker who never sleeps.

Try it out here: omodore.com

[jcmarchi]

Generative AI’s end-run around copyright won’t be resolved by the courts

New Post has been published on https://thedigitalinsider.com/generative-ais-end-run-around-copyright-wont-be-resolved-by-the-courts/

Generative AI’s end-run around copyright won’t be resolved by the courts

Generative AI companies have faced many copyright lawsuits, but something is different about the recent complaint by the New York Times. It is filled with examples of ChatGPT outputting near-verbatim copies of text from the NYT. Copyright experts think this puts the Times in a very strong position.

We are not legal experts, and we won’t offer any commentary on the lawsuit itself. Our interest is in the bigger picture: the injustice of labor appropriation in generative AI. Unfortunately, the legal argument that has experts excited — output similarity — is almost totally disconnected from what is ethically and economically harmful about generative AI companies’ practices. As a result, that lawsuit might lead to a pyrrhic victory for those who care about adequate compensation for creative works used in AI. It would allow generative AI companies to proceed without any significant changes to their business models.

There are two broad types of unauthorized copying that happen in generative AI. The first is during the training process: generative AI models are trained using text or media scraped from the web and other sources, most of which is copyrighted. OpenAI admits that training language models on only public domain data would result in a useless product.

The other is during output generation: some generated outputs bear varying degrees of resemblance to specific items in the training data. This might be verbatim or near-verbatim text, text about a copyrighted fictional character, a recognizable painting, a painting in the style of an artist, a new image of a copyrighted character, etc.

An example of a memorized output from an NYT article presented in the lawsuit. Source: The New York Times

The theory of harm here is that ChatGPT can be used to bypass paywalls. We won’t comment on the legal merits of that argument. But from a practical perspective, the idea of people turning to chatbots to bypass paywalls seems highly implausible, especially considering that it often requires repeatedly prompting the bot to continue generating paragraph by paragraph. There are countless tools to bypass paywalls that are more straightforward.

Let’s be clear: we do think ChatGPT’s knowledge of the NYT’s reporting harms the publisher. But the way it happens is far less straightforward. It doesn’t involve users intentionally getting it to output memorized text, but rather completely innocuous queries like the one below, which happen millions of times every day:

A typical user who asked this question would probably have no idea that ChatGPT’s answer comes from a groundbreaking 2020 investigation by Kashmir Hill at the NYT (which also led to the recently published book Your Face Belongs To Us).

Of course, this doesn’t make for nearly as compelling a legal argument, and that’s the point. In this instance, there is no discernible copying during generation. But ChatGPT’s ability to provide this accurate and useful response is an indirect result of the copying that happened during training. The NYT’s lawsuit argues that copying during training is also unlawful, but the sense among experts is that OpenAI has a strong fair use defense.

Here’s another scenario. As search engines embrace AI-generated answers, what they’ve created is a way to show people news content without licensing it or sending traffic to news sites. We’ve long had this problem with Google News, as well as Google search scraping content to populate search results, but generative AI takes it to the next level.

In short, what harms creators is the intended use of generative AI to remix existing knowledge, not the unintended use of bypassing paywalls. Here’s a simple way to see why this is true. If generative AI companies fixed their products to avoid copyrighted outputs (which they can and should), their business model would be entirely unaffected. But if they were forced to license all data used for training, they would most likely immediately go out of business.

We think it is easy to ensure that generative AI products don’t output copyright-violating text or images, although some experts disagree. Given the prominence of this lawsuit, OpenAI and other companies will no doubt make it a priority, and we will soon find out how well they are able to solve the problem.

In fact, it’s a bit surprising that OpenAI has let things get this far. (In contrast, when one of us pointed out last summer that ChatGPT can bypass paywalls through the web browsing feature, OpenAI took the feature down right away and fixed it.) 

There are at least three ways to try to avoid output similarity. The simplest is through the system prompt, which is what OpenAI seems to do with DALL-E. It includes the following instruction to ChatGPT, guiding the way it talks to DALL-E behind the scenes: 

Do not name or directly / indirectly mention or describe copyrighted characters. Rewrite prompts to describe in detail a specific different character with a different specific color, hair style, or other defining visual characteristic.

But this method is also the easiest to bypass, for instance, by telling ChatGPT that the year is 2097 and a certain copyright has expired.

A better method is fine tuning (including reinforcement learning). This involves training to refuse requests for memorized copyrighted text and/or paraphrase the text during generation instead of outputting it verbatim. This approach to alignment has been successful at avoiding toxic outputs. Presumably ChatGPT has already undergone some amount of fine tuning to address copyright as well. How well does it work? OpenAI claims it is a “rare bug” for ChatGPT to output memorized text, but third-party evidence seems to contradict this.

While fine tuning would be more reliable than prompt crafting, jailbreaks will likely always be possible. Fine tuning can’t make the model forget memorized text; it just prevents it from outputting it. If a user jailbreaks a chatbot to output copyrighted text, is it the developer’s fault? Morally, we don’t think so, but legally, it remains to be seen. The NYT lawsuit claims that this scenario constitutes contributory infringement.

Setting all that aside, there’s a method that’s much more robust than fine tuning: output filtering. Here’s how it would work. The filter is a separate component from the model itself. As the model generates text, the filter looks it up in real time in a web search index (OpenAI can easily do this due to its partnership with Bing). If it matches copyrighted content, it suppresses the output and replaces it with a note explaining what happened.

Output filtering will also work for image generators. Detecting when a generated image is a close match to an image in the training data is a solved problem, as is the classification of copyrighted characters. For example, an article by Gary Marcus and Reid Southen gives examples of nine images containing copyrighted characters generated by Midjourney. ChatGPT-4, which is multimodal, straightforwardly recognizes all of them, which means that it is trivial to build a classifier that detects and suppresses generated images containing copyrighted characters.

To recap, generative AI will harm creators just as much, even if output similarity is fixed, and it probably will be fixed. Even if chatbots were limited to paraphrasing, summarization, quoting, etc. when dealing with memorized text, they would harm the market for the original works because their usefulness relies on the knowledge extracted from those works without compensation.

Note that people could always do these kinds of repurposing, and it was never a problem from a copyright perspective. We have a problem now because those things are being done (1) in an automated way (2) at a billionfold greater scale (3) by companies that have vastly more power in the market than artists, writers, publishers, etc. Incidentally, these three reasons are also why AI apologists are wrong when claiming that training image generators on art is just like artists taking inspiration from prior works.

As a concrete example, it’s perfectly legitimate to create a magazine that summarizes the week’s news sourced from other publications. But if every browser shipped an automatic summarization feature that lets you avoid clicking on articles, it would probably put many publishers out of business.

The goal of copyright law is to balance creators’ interests with public access to creative works. Getting this delicate balance right relies on unstated assumptions about the technologies of creation and distribution. Sometimes new tech can violently upset that equilibrium.

Consider a likely scenario: NYT wins (or forces OpenAI into an expensive settlement) based on the claims relating to output similarity but loses the ones relating to training data. After all, the latter claims stand on far more untested legal ground, and experts are much less convinced by them.

This would be a pyrrhic victory for creators and publishers. In fact, it would leave almost all of them (except NYT) in a worse position than before the lawsuit. Here’s what we think will happen in this scenario: Companies will fix the output similarity issue, while the practice of scraping training data will continue unchecked. Creators and publishers will face an uphill battle to have any viable claims in the future.

IP lawyer Kate Downing says of this case: “It’s the kind of case that ultimately results in federal legislation, either codifying a judgment or statutorily reversing it.” It appears that the case is being treated as a proxy for the broader issue of generative AI and copyright. That is a serious mistake. As The danger is that policymakers and much of the public come to believe that the labor appropriation problem has been solved, when in fact an intervention that focuses only on output similarity will have totally missed the mark.

We don’t think the injustice at the heart of generative AI will be redressed by the courts. Maybe changes to copyright law are necessary. Or maybe it will take other kinds of policy interventions that are outside the scope of copyright law. Either way, policymakers can’t take the easy way out.

We are grateful to Mihir Kshirsagar for comments on a draft.

Further reading

Benedict Evans eloquently explains why the way copyright law dealt with people reusing works isn’t a satisfactory approach to AI, normatively speaking.

The copyright office’s recent inquiry on generative AI and copyright received many notable submissions, including this one by Pamela Samuelson, Christopher Jon Sprigman, and Matthew Sag.

Katherine Lee, A. Feder Cooper, and James Grimmelmann give a comprehensive overview of generative AI and copyright.

Peter Henderson and others at Stanford dive into the question of fair use, and discuss technical mitigations. 

Delip Rao has a series on the technical aspects of the NYT lawsuit.