A research study on privacy in an ai driven ecosystem

Through participant interviews and secondary research this design research study uses expert understanding about the values and consequences of data breaching and privacy to analyze and propose future topic opportunities.

Knowledge Goals: Using different methodologies and learning tools each knowledge goal had a set of activities tailored to aid the most fruitful conversation.

Interviews: I conducted 5 interviews with different individuals contributing to the field of AI & design to gain perspective on how creators/contributors feel about the consumer outcome/ethics.

Secondary Research : I focused my secondary research in these three categories. I thought it was an interesting range of contribution and expectation when it came to the future integration of public Ai.

Analysis: Based off the information gathered, I used different analysis methodologies to better parse how we view the problem at hand.

Themes & Insights: I distilled everything to six separate categories of how people may choose to address privacy breaches when it comes to public Ai. Within each category I established the main questions to address and ideated possible solutions.

Future Opportunities: I took three ideas and created design prompts to stimulate more specific conversation around how we deal with Ai Privacy.