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AI Content Detector Continues To Be Confirmed As Most Accurate By Third-Party Studies

In July 2023, four researchers from across the globe published a study on the Cornell Tech-owned arXiv, declaring Copyleaks AI Content Detector the most accurate for detecting Large Language Models (LLM) generated text.

For the study, the researchers collected 124 submissions from computer science students written before ChatGPT was created. They then generated 40 ChatGPT submissions and used the data to evaluate eight publicly available LLM-generated text detectors.

Here were their key findings,

That was just the beginning.

Since then, additional independent third-party studies have been released, each one highlighting the accuracy and efficiency of the AI Content Detector.

Check out the findings below.

Study: Detecting AI Content in Responses Generated by ChatGPT, YouChat, and Chatsonic: The Case of Five AI Content Detection Tools

Author: Chaka Chaka, University of South Africa

Published: July 2023

Read the full study here.

Study: How Hard Can It Be? Testing the Reliability of AI Detection Tools

Author: Daniel Lee, University of Adelaide

Published: September 2023

ai detection results after human modifications

Read the full study here.

Study: The Effectiveness of Software Designed To Detect AI-Generated Writing: A Comparison of 16 AI Text Detectors

Author: William H. Walters, Manhattan College

Published: October 2023

copyleaks most accurate ai content detector

Percentage of all 126 documents for which each detector gave correct, uncertain, or incorrect responses.

Read the full study here.

Study: Accuracy Pecking Order – How 30 AI detectors stack up in detecting generative artificial intelligence content in university English L1 and English L2 student essays

Author: Chaka Chaka, University of South Africa

Published: April 2024

Only two AI detectors, Copyleaks and Undetectable AI, managed to correctly detect all of the essay sets of the two English language categories (English L1 and English L2) as human written. As a result, these two AI detectors jointly shared the first spot in terms of the GenAI detection accuracy ranking.

Read the full study here.

Study: How Sensitive Are the Free AI-detector Tools in Detecting AI-generated Texts? A Comparison of Popular AI-detector Tools

Author: Sujita Kumar Kar, Teena Bansal, Sumit Modi, and Amit Singh, Indian Journal of Psychological Medicine

Published: May 2024

Read the full study here.

As the studies show, with Copyleaks, you can have complete peace of mind with a solution that covers all of your AI detection bases, evolves with the ever-changing technology, and ensures originality while inspiring authenticity.

May 16, 2024

How Can AI Help You Today?

GenAI in Customer Support

Have you logged onto a favorite shopping site or your bank’s website and been asked to check out the new AI-driven customer support chat option? Or is an AI-based algorithm now making more personalized recommendations for you on a subscription-based site you like?

GenAI is expanding into many verticals that touch our everyday lives. However, customer support may be the area that touches even those who don’t consider themselves very tech-forward or have no interest in adopting generative AI into their daily lives.

While there are concerns about adopting AI into customer support, there are benefits that, when adopted responsibly, help streamline workflows and improve the overall customer experience.

Let’s explore.

The Benefits of AI and Customer Support

Bridges Language Gaps

New genAI tools have arrived on the market to help customer support agents offer better international support and bridge the gap around language barriers. Thanks to AI, an agent can record a reply to a customer inquiry and then have it translated into the customer’s native language while retaining the sound of the agent’s voice.

24/7 Availability

One of the more significant advantages of genAI-powered customer support is the ease of offering assistance provided around the clock. AI can offer overnight help to basic customer inquiries that don’t require a more in-depth human touch.

UI graphic of an urgent inquiry with a notification button on top

Empowering Efficiency and Scalability

Thanks to genAI’s ability to handle large inquiries, customer support teams can streamline operations and reduce customer wait times at peak periods. AI can help sort inquiries based on need, freeing human agents to dedicate more time to the customer and not so much time to tedious tasks.

Three types of data charts on transparent backgrounds

Offers Better Data Insights

AI models can analyze vast amounts of customer data in a fraction of the time it would take humans to do so. This helps teams uncover valuable insight and trends to make more informed, real-time decisions regarding refining their products and overall customer experience.

The Challenges of AI and Customer Support

Customer Privacy and Data Leaks

AI can facilitate key customer support processes, with some teams seeing an 85% reduction in support ticket times. However, when personal data is involved, safeguards that offer transparency and help you oversee all AI use are crucial to avoid potential customer data leaks.

UI graphic of a user's email and password, with the password blurred out and a security notification on the front

Less-Than-Ideal Customer Experience

AI models are trained on large amounts of data from various sources. Therefore, AI outputs can contain biases and misinformation. That’s why having the tools to help maintain insight and transparency is essential to avoid less-than-ideal customer interactions.

Negative Impact on the Brand

Nothing can sour a brand reputation faster than negative customer experiences, and several high-profile incidents with AI chatbots highlight how easily that can happen. Customer Support teams must train AI models on high-quality data and have the necessary guardrails to ensure that any AI customer support chatbots answer only the questions you permit.

A chatbot with the AI asking the user to select from different type of topic, with the user choosing "Other"

A static graphic of two user icons linking through neural cybernetic lines

The Importance of Human Touch

While GenAI can provide efficient and, at times, personalized support, it still lacks the much-needed empathy and emotional intelligence of human agents. Customers may feel frustrated or disconnected when interacting with a machine, especially in sensitive or complex situations. Hence, it’s important not to rely on genAI entirely but instead implement it to supplement workflows, not replace them. This emphasis on the human touch in customer interactions makes the audience feel understood and valued.

Ensure Responsible GenAI Adoption As Part of Your Customer Support

Learn More

Undoubtedly, genAI can revolutionize customer support. However, while leveraging genAI, companies must carefully navigate the potential risks and ensure responsible adoption across the organization. Doing so can drive success while reassuring customers and providing them with a sense of security and trust.