This session will give attendees a snapshot into the research, creation and use of algorithms and AI models for the advancement of education technology. Panelists will discuss the ethical collection of data for algorithms and how AI models can be leveraged to create more equitable and unbiased technology.
In today’s world, technology and innovation are constantly and rapidly evolving. Terms like “artificial intelligence”(AI) and “algorithms” are tossed around in conversation, but many people still don’t understand them. Algorithms and AI models are instrumental in education technology, but misconceptions and lack of awareness about these tools cause public apprehension. The media perpetuates this misunderstanding when they refer to them as “biased” and “discriminatory.”
The false narrative and misinformation about AI and algorithms fosters opposition to their use in people's daily lives. Skeptics picture a corrupt future where marginalized groups suffer at the hands of algorithmic bias or crazed machines taking over the world. Such bias is often the consequence of a lack of diverse data sets. So, the question remains: How can we minimize bias in education technology and prioritize diversity, equity, and inclusion?
AI models intend to improve people's lives, not make them more difficult. Creating an fair and equitable algorithm requires both a large number of varied data sets and an ethical collection process. Historically, these data sets have been collected in unethical ways, like scraping people's images off the internet. This method of collection is underhanded but it does not have to be acquired in this manner.
Algorithms are an important part of our lives, often in ways people are unaware, like phone applications and online web searches. Online proctoring uses tools like facial detection to validate test-taker identities and bring value to degrees and certifications while increasing accessibility to education. In their creation, privacy must be first and foremost and diversity of thought and perspectives are crucial as well. The genesis of fair and equitable technology can level the playing field for people that would otherwise be left out.