Diversity is a fictive design solution for a web browser plugin that aims to educate AI about diversity during searches, with the goal of presenting a broader spectrum of search results.
In such patterns, we may become solely focused on seeking self confirmation and avoid thinking differently or standing out. But what happens if we don't fit the norm or fail to meet our goals? Will we be capable of accepting ourselves or others who don't comply? This could result in feelings of emptiness and disdain towards ourselves and others.
People with different background and perspectives compared to yourself, can enrich your life in a way that confirmation can not. Having access to a broader range of ideas, insights, and solutions lead to more effective problem-solving and decision-making. It can make you smarter, challenge you to reflect more and show yourself that your differences can be a strength.
The project aligns with one of the goals in the UN Agenda 2030 for Sustainable Development, subgoal 5.B: Empower women through technology. How can we promote the use of technology, particularly information and communication technology, to enhance women's empowerment?
Fairness-aware Machine Learning (FAML): Developing AI models that consider factors like gender, age, and ethnicity for fairness.
Transparent model development, reliable data usage, education and awareness, algorithmic auditing, user feedback, collaboration, responsible data practices, regular model evaluation, ethical guidelines, inclusion of ethical and social knowledge, stakeholder involvement and cultural sensitivity.
