After a man hopped behind the wheel of an autonomous Waymo vehicle and tried to drive off, the company offered assurances that the car's technology includes protections against bad actors. On Thursday a man in downtown L.A. allegedly attempted to get into a Waymo and drive away. Police responded and eventually got the man out of the car. It was not immediately clear if the man was the person who had called the vehicle. The incident raised questions about how the autonomous vehicle ride-share company protects its human-free cars, just months after Waymo began providing rides for all Angelenos.

Companies support their customers using live chats and chatbots to gain their loyalty. AFAS is a Dutch company aiming to leverage the opportunity large language models (LLMs) offer to answer customer queries with minimal to no input from its customer support team. Adding to its complexity, it is unclear what makes a response correct, and that too in Dutch. Further, with minimal data available for training, the challenge is to identify whether an answer generated by a large language model is correct and do it on the fly. This study is the first to define the correctness of a response based on how the support team at AFAS makes decisions. It leverages literature on natural language generation and automated answer grading systems to automate the decision-making of the customer support team. We investigated questions requiring a binary response (e.g., Would it be possible to adjust tax rates manually?) or instructions (e.g., How would I adjust tax rate manually?) to test how close our automated approach reaches support rating. Our approach can identify wrong messages in 55\% of the cases. This work shows the viability of automatically assessing when our chatbot tell lies.

In 2020, 5,000 customer service agents mostly based in the Philippines became guinea pigs in an experiment testing a question that by 2023 would feel urgent: Can an AI assistant based on OpenAI's text-generation technology make workers more productive? The automated helper offered agents suggested responses to small-business owners seeking tech support. The bot had been trained on previous customer chats, with a special emphasis on answers from top performers. And sure enough, when MIT and Stanford researchers analyzed the results, the AI tool had boosted the support team's productivity by 14 percent. When the National Bureau for Economic Research, a nonprofit, published those results in late April, they were quickly seized upon as confirmation that ChatGPT-style bots would indeed transform work. But for the researchers conducting the study, the results raised a provocative new question: Should the top workers whose chats trained the bot be compensated?

Since the launch of ChatGPT by OpenAI in November of 2022, many in the digital marketing world have been wondering how artificial intelligence might change our industry forever. Will high-requested jobs in the digital field, such as developers or copywriters, be replaced? Will artificial intelligence in the future be so good that we will not need a support team to answer customers' questions via live chat or emails? Will we be able to write blog posts, create images, cut videos, build sales pages and create content completely on autopilot? After testing out many AI applications over the last three months, I believe the clear answer is yes: artificial intelligence will reduce and simplify the amount of work we have to do in marketing, and some people might lose their job positions … but not those who are high-level at what they do.

ChatGPT has taken the Internet by storm. People all over the world use ChatGPT to generate ideas for content, essays, emails, and codes and solve mathematical questions. The AI chatbot has surpassed 100 million users in less than two months making it the fastest growing consumer internet app ever. It's normal for any app or website to struggle with such a large user base. We, too, often struggled with problems when using ChatGPT.

Halvard is the Chief Product Officer for Boost.ai, a provider of next-generation conversational AI for enterprises operating at scale. Artificial intelligence has been popularized in movies and entertainment as sentient bots that are purpose-built to replace humans. In reality, their applications are much more practical in nature and should be considered another handy tactic in the toolbox of software applications that can be the critical integration that drives your business to the next level of operations. As solutions driven by machine learning and AI start to be verticalized into fields such as agriculture, healthcare and financial services, the ethereal idea of interaction with AI being a part of everyday life is starting to become accepted and even recommended for enterprises of all sizes that are looking to problem-solve stopgaps in their ability to scale. As consumers head more digital than ever, here are a few things to consider when looking to add AI into your CX flow.

Over the years, we have truly witnessed the giant leaps that technology has made. Probably one of the most astounding things science has come up with is Artificial Intelligence. It came into the world with a bang. Just a few years after conception, it was able to make its way into a lot of Hollywood movies, as a villain that humanity needs to face (Age of Ultron flashbacks). Well, while the movies might have been a bit of an exaggeration, there is no denying the limitless possibilities that Artificial Intelligence opens up for us.

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Zendesk today announced it has acquired Cleverly.ai, Zendesk says it will integrate Cleverly's technology across its existing products, enabling teams to automate more processes while keeping up with customer demand. With conversation volume increasing by more than 20% year-over-year, customer support teams are struggling to keep up. As a result, businesses are increasingly turning to AI to provide faster and more reliable service. A 2020 IDC survey found that automated customer service agents are a top priority for companies with over 5,000 employees.

At Zendesk, we believe a key component of providing great customer experiences includes ensuring your agents are armed with the right tools and processes to deliver them. But with conversation volume increasing by more than 20 percent year over year, over a growing number of channels, support teams are struggling to keep up. As a result, businesses increasingly turn to AI to provide faster and more reliable service and make teams more efficient. That's why we're excited to announce that today Cleverly is joining the Zendesk team. Cleverly provides AI-powered solutions with insight-driven automation that makes support teams more productive.

Microsoft Digital, the organization that is powering, protecting, and transforming Microsoft, is improving the support experience by partnering with ServiceNow to incorporate modern support-agent functionality into the Microsoft Digital environment by using ServiceNow Virtual Agent and Microsoft Teams. As a result, the support team, and the employees they assist have a more complete tool set, a simpler view into the support environment, and a more streamlined method for executing tasks and solving issues quickly. Microsoft Digital runs the systems that support more than 135,000 employees. Our Global Helpdesk supplies support to these employees throughout more than 120 countries and regions worldwide. Global Helpdesk receives approximately 3,000 requests for support every day, and the ability to efficiently assess what help our users need and how we can provide that help are critical to the effectiveness of Global Helpdesk and our Employee Experience organization at Microsoft.