“We are entering a period where AI systems behave in ways we cannot always predict.” Geoffrey Hinton, AI researcher
AI’s next shift away from chatbots
As companies explore safer and more predictable ways to use large language models (LLMs), many are reconsidering the chatbot interface. The once magical idea of free-flowing conversations with an AI is facing real concerns about liability, safety and control. Firms learned that even with guardrails, users can push chatbots into unsafe or harmful territory. This unpredictability has made some businesses rethink whether open-ended dialogue is the right interface at all. Instead of relying on free text, they are testing tighter controls that reduce the chance of unexpected responses.
Platforms choosing safer paths
Character.ai, known for its anime and fictional character bots, is shifting from open chat to more structured interactions, especially for younger users. After concerns about psychological dependence and inappropriate conversations, the company now bans users under 18 from chatting with its bots and is redesigning its interface to rely more on suggested prompts.
Business models adapting to control
Vitality, the health app under Discovery, uses Google’s Gemini but restricts it to behind the scenes processing. Instead of chatting, users engage with buttons, options and small nudges that guide behaviour. This approach keeps AI useful without inviting conversational risk, especially in sensitive areas like healthcare.
The future beyond talkative machines
Some experts believe AI could be more effective as a set of constrained tools rather than chat-style companions. Suggested prompts and focused actions may offer better reliability, and future consumer AI might shift toward structured experiences rather than wide open dialogue.
Summary
AI companies are rethinking chatbots due to unpredictability and safety concerns. Many platforms now prefer structured prompts and buttons to keep interactions controlled, especially for young users and healthcare contexts. This signals a shift toward more focused and less conversational AI tools.
Food for thought
If open conversation is too risky, should the future of AI focus more on guided tools rather than freely expressive systems?
AI concept to learn: AI guardrails
AI guardrails are the policies, constraints, and safety mechanisms designed to ensure artificial intelligence systems behave responsibly and predictably. They help prevent misuse, harmful outputs, bias, and unintended consequences, especially in high-risk applications. Guardrails include safety filters, ethical guidelines, transparency standards, human oversight, and secure system design. As AI becomes more powerful and widely used, strong guardrails protect users, organizations, and society, ensuring AI remains trustworthy, fair, and aligned with human values.
[The Billion Hopes Research Team shares the latest AI updates for learning and awareness. Various sources are used. All copyrights acknowledged. This is not a professional, financial, personal or medical advice. Please consult domain experts before making decisions. Feedback welcome!]
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