Hunted Gift uses Google Gemini AI to generate personalized gift recommendations based on your inputs like recipient details, occasion, budget, and interests. Like all AI systems, Gemini's training data reflects patterns from the real world, which can include biases related to gender, age, culture, and price ranges.
While we work with a leading AI provider, we can't guarantee recommendations are completely free from bias. If you notice suggestions that seem off-target or inappropriate, regenerate for new options.
How the AI works
When you chat with Hunted Gift, your preferences are sent to Google's Gemini AI models. The AI analyzes your inputs and generates gift ideas by drawing on patterns it learned during training. It doesn't learn from your individual feedback or adjust recommendations based on previous user reports.
The recommendations you see depend entirely on:
What you tell the AI about the recipient
The occasion and budget you specify
Style images or interests you share
Patterns the AI learned from its training data
Potential biases to watch for
AI recommendation systems can exhibit several types of bias:
Gender stereotypes: The AI might suggest makeup for women or tools for men based on historical shopping patterns, even when those don't fit your recipient.
Age assumptions: Gift suggestions may skew toward typical age-related products rather than individual interests.
Cultural blind spots: Recommendations may favor Western products or miss culturally specific gift-giving practices.
Price anchoring: Budget ranges might influence quality perceptions or product categories in predictable ways.
The more specific you are in your chat, the better. Instead of "gift for my mom," try "gift for my mom who loves hiking and photography, budget $100."
What to do about biased recommendations
If recommendations feel stereotyped or miss the mark:
Regenerate: Click the regenerate button to get a fresh set of suggestions
Add details: Provide more specific interests, hobbies, or style preferences to override generic patterns
Browse saved lists: Sometimes exploring your saved gifts reveals better alternatives
Currently, there's no built-in reporting mechanism for biased recommendations. The AI doesn't learn from individual user feedback or adjust future suggestions based on what you skip or save.
Google's responsible AI practices
Google Gemini is built with responsible AI principles that aim to minimize harmful biases. However, no AI system is perfect, and biases can still appear in gift recommendations.
Hunted Gift doesn't use your data to train or fine-tune the AI. Your conversations stay private and aren't shared with Google for model improvement.
If you see recommendations that are inappropriate, offensive, or clearly biased, contact [email protected] so the team can investigate.
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