Tech
Experts Warn Over AI ‘Jesus’ Chatbots During Christmas Season
Artificial intelligence chatbots designed to mimic Jesus are raising questions about authenticity and influence, experts say, as several new platforms offer religious guidance and companionship during the Christmas holidays.
These AI simulations, created by companies including Talkie.AI, Character.AI, and Text With Jesus, allow users to interact with a digital version of one of Christianity’s central figures. Some of the chatbots claim to represent the “official voice of God,” giving advice, answering questions, and offering reflections on the holiday season.
Heidi Campbell, professor of communication and religious studies at Texas A&M University, said the novelty lies in AI’s ability to simulate personal interactions. “It’s the idea … like you are texting your friend,” Campbell said. “Somehow it feels kind of more authentic … it feels intimate.” On one platform, users receive Bible quotes and messages about God’s love while background music plays. Another bot emphasizes love and forgiveness, while a popular AI character on Character.AI blends religious commentary with lighthearted Christmas observations, mentioning cookies, family gatherings, and holiday songs.
Experts caution that reliance on AI for religious guidance can be risky, especially for young people or those unfamiliar with technology. Chatbots may provide answers without context or the ability to evaluate accuracy, leaving users vulnerable to misinformation. “They don’t have any kind of a sounding board for these answers, and so that’s why that can be highly problematic,” Campbell said.
Researcher Feeza Vasudeva from the University of Helsinki noted that these AI systems rely on generative models such as ChatGPT or DeepSeek, often trained on limited datasets. This means biases in the training data can influence the chatbot’s responses. For example, models may produce globally averaged or homogenized messages that do not reflect local customs, traditions, or diverse interpretations of religious texts. “Whoever’s curating the training data is effectively curating the religious traditions … to an extent as well,” Vasudeva said.
Campbell added that even widely used AI models may struggle with non-Western religions or provide stereotyped responses, reinforcing the need for caution. A safer approach, she suggested, would be chatbots drawing exclusively from Bible passages and controlled religious sources.
Experts recommend that AI Jesus chatbots be used sparingly and mindfully during the holiday season. Vasudeva advised prioritizing family and friends over virtual interactions, while Campbell suggested evaluating the chatbot’s source and purpose before relying on it for spiritual guidance. Users are also encouraged to fact-check information provided by AI through trusted human sources, such as pastors or local religious leaders.
As AI continues to expand into religious spaces, these chatbots highlight both the potential for innovative engagement and the need for critical awareness. During emotionally significant periods like Christmas, experts stress that digital simulations should complement, not replace, real-world connections and guidance.
Tech
Study Says EU Regulations Are Slowing Rollout of Advanced AI Models
A new study by Governance.AI has found that European Union regulations are delaying the rollout of advanced artificial intelligence models, with technology companies increasingly pointing to the bloc’s regulatory framework as a key obstacle to launching new AI products in Europe.
The report examined 375 large language models (LLMs) released between June 2018 and May 2026, comparing their availability across the United States, the European Union and the United Kingdom. According to the findings, at least 11 percent of advanced AI model releases were either delayed or never launched in the EU compared with the United States. In the UK, the figure stood at 7 percent.
Researchers said they identified 68 cases in which AI models experienced delays or were withheld from specific markets. Regulatory factors were cited as the primary reason in 56 of those cases, making them the most common cause of restricted availability.
The study reviewed releases from major AI developers, including Meta, Google, OpenAI and Anthropic. Meta recorded the highest proportion of delayed or unavailable releases, with 26 percent of its AI models delayed or withheld in the EU and 15 percent in the UK. Anthropic’s Claude 3 Opus was highlighted as one example, with its web application arriving in the EU 71 days later than in the United States.
According to the report, data protection rules have emerged as the biggest regulatory hurdle, particularly for AI systems capable of processing images, audio and real-time video rather than text alone.
The researchers argued that uncertainty surrounding the application of the General Data Protection Regulation (GDPR) to AI model training and deployment has created additional challenges for developers. They also said enforcement of data protection rules has generally been stricter within the EU than in the UK, despite both jurisdictions sharing similar legal foundations following the adoption of the GDPR before Britain’s exit from the bloc.
The report noted that the full impact of newer legislation, including the Digital Markets Act, which began taking effect in 2023, and the Artificial Intelligence Act, adopted in 2024, has yet to be fully reflected in the data.
At the same time, the European Union is reviewing proposals aimed at making data rules more practical for AI development through its Digital Omnibus initiative. Lawmakers are also considering changes to copyright legislation and the AI Act’s copyright provisions to strengthen protections for creators, measures that researchers say could affect future AI model availability if implemented too strictly.
John Lidiard, a UK AI policy researcher and one of the report’s authors, said policymakers should consider the impact that regulatory barriers can have on businesses and consumers seeking access to the latest AI technologies. He said balancing innovation with effective oversight would remain a key challenge as governments continue to develop AI regulations.
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