Intro
Today, people are using AI assistants to give them suggestions for recipes, workout plans and even life or medical advice. These AI tools use personalisation to deliver relevant answers by allowing users to share relevant information. This demonstrates how transparent and user-controlled personalisation creates more helpful and safer digital experiences while maintaining privacy autonomy.
The Challenge
Search engine responses or online content often provide irrelevant or potentially harmful advice that fails to account for individual circumstances. Users seeking health, fitness, or lifestyle guidance may receive one-size-fits-all recommendations that could be inappropriate for their specific situation. For example, generic workout routines could be unsuitable for someone with health conditions, while universal meal plans might not address dietary restrictions or personal goals.
The Solution
AI platforms have implemented user-controlled personalisation systems that allow individuals to voluntarily share relevant information to receive tailored assistance. Users can choose to provide details like age, location, health considerations, or personal goals, which the AI remembers across conversations to deliver contextually appropriate responses. This may include optional user profiles where individuals clearly understand and control what information to share, conversational memory that builds understanding over time while respecting privacy settings, and adaptive responses that consider individual circumstances when providing recommendations—such as suggesting nearby restaurants when users mention their location, or creating workout plans appropriate for disclosed fitness levels.
Why This Matters
Research shows that 83% of consumers are willing to share data to receive personalised experiences, with 90% of consumers being happy to share behavioural data for better and easier interactions. This voluntary personalisation significantly improves both utility and safety of AI assistance. Users receive more accurate health and lifestyle advice tailored to their specific needs, while avoiding potentially harmful generic recommendations. By incorporating user-provided context, AI can avoid recommending inappropriate advice—such as suggesting intensive exercise to someone with disclosed health limitations, or providing dietary advice that conflicts with mentioned allergies.
83%
of consumers are willing to share data to receive personalised experiences
90%
of consumers being happy to share behavioural data for better and easier interactions