Kind AI is a Kindness Monitor that reinforces positive behaviours online. Designed to be an add-on to already popular communication platforms, users can track their written content with suggestions and rewards that promote positive and kind language. Kind Ai also provides users an insight into the impact of their actions. Simply put, Kind Ai is the grammarly of kindness.
Kind Ai aims to combat the rampant negativity online in the long term, whilst building more awareness of tone of voice and the power of words. Behavioural science has taught us that knowing the impact of your actions can be a big motivator in building positive behaviours. Kind Ai aims to simplify this effort and reward positive behaviour to accelerate the journey to becoming kinder.
We developed a theory of change that we built our approach on: If we learn how to give compliments, the art of receiving them, then these small acts of love will kick off multiple cycles of virtuousness and motivate people to enact bigger acts of love.
A large language model uses a large (and broad) data set to learn what is kind and culturally sensitive. This is sense checked for bias, and a reinforcement loop is designed in to ensure continuous learning and iteration. Kindness is subjective and highly localised, so a series of principles around best practices will frame ongoing development. This data set will continue to grow with use, with the goal to keep improving.
Insights: Giving Compliments
01: A compliment that is meaningful to the giver may not be so for a receiver, and this imbalance in priorities can counteract the positive sentiment with which the interaction is initiated.
02: Givers underestimate the impact of their praise, yet a compliment is often highly valued by the reciever.
03: The perfect compliment does not exist, but the pursuit of this can lead to delays in the delivery, a heighted fear of rejection, and ultimately, an opportunity lost.
Insights: Receiving Compliments
01: Receivers tend to block & deflect compliments when they feel underconfident and undeserving. Still the feelings of being 'valuable and loved' always take the top spot.
02: Sometimes receivers tend to forget and don't appreciate the gestures of love. They also do not realise that compliments is more about the giver.
03: Often the receiver's expectations do not match with the givers 100% because their idea of love is different.
KIND AI: Kind AI is a Kindness Monitor that reinforces positive behaviours on the internet. It is an API or plug-in for people who want to integrate more kindness in their online interactions. The users can download and link to their social media and email apps to track their written content (emails, texts, posts, comments) with suggestions and rewards that promote positive and kind language. Kind Ai also provides users an insight into the impact of their actions.
COMPLIMENT CARDS:
SPREAD LOVE: Compliment Cards are for people who want to make this world a kinder place but struggle with knowing how. Compliment Cards are prewritten compliments that people can give to their friends, family, work peers or strangers to spread love!
LOVE DIRECTORY TO FUTURE:
SELF LOVE: Love Directory is for people who want to make this world a kinder place, but in the process forget that they are also valued. Acting as a digital journal, it helps people to capture and log pictures and memories of an artefact or deed that made them feel loved by others offering users the option to post-date a memory for the future. As it is said one can only pour from their own filled bucket.
We plan to take a hypothesis-led approach to prototyping and user testing. Based on the ideas we plan to move ahead with prototyping and testing them in the real world, starting with paper prototypes and then moving on to building physical and digital mockups for each concept.
We believe in making life-long love connections through great design.
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