Bad Robots: Behind the Tinder Algorithm – the Unknown Truth about Tinder
Bad Robot Outcome: Bias Tinder algorithm learns to make predictive future projection decisions based on past habits for future matches. It also poses a concern about how the algorithm will objectively calculate personal desirability.
The StoryThe algorithm works based on learning users’ past habits. For instance, if an individual had, several Caucasian or blonde matches in the past, the algorithm is then designed to suggest only Caucasian or blonde as the perfect match for the user in future matches. This raises ethical concerns and poses a threat to human interaction and social life in dating sites since it reinforces societal norms.
Our ViewIt is clear as we have seen that the Tinder algorithm is still a work in progress as it develops, grows, and continually keeps fine-tuning its algorithm to meet the needs for their dating site. However, there is still much to be done regarding the arising ethical concerns of the algorithm in place and in the world of dating apps. The algorithm should allow for independent decisions and not upon past information that could be biased and potentially discriminatory to certain Tinder community members. Most importantly it must uphold the equality of all Tinder users regardless of their race, class or status quo. Otherwise, the algorithm will end up doing more harm than good in the long term. It infringes on Fairness and Contestability (Australian Gov’t AI ethics Principles). We hope to see bias eradicated from dating apps where it’s an even and equal playing field for all its members irrespective of input.
Lawrence, s. (2019, May 18). The Tinder algorithm explained. Retrieved from VOX: https://www.vox.com/2019/2/7/18210998/tinder-algorithm-swiping-tips-dating-app-science
Rolle, M. (2019, 02, 25). The biases we feed to Tinder algorithms. Retrieved from https://www.diggitmagazine.com: https://www.diggitmagazine.com/articles/biases-we-feed-tinder-algorithms