How Chrysallis.AI Is Using Synthetic Media As Part Of Their “Metaversity” Platform
- Sep 30, 2022
- 2 min read
Written by: Anna London, Executive Contributor
Executive Contributors at Brainz Magazine are handpicked and invited to contribute because of their knowledge and valuable insight within their area of expertise.
Chrysallis.AI is an education platform that uses machine learning (ML) and artificial intelligence (AI) to adjust curriculums to the pace of individual students. The platform utilizes fluid analytics, adaptive learning, and gamification to make STEAM and Cyber Security education fun and more impactful. This also makes the platform more engaging by offering alternative education models that are specific to each student, increasing the odds that they finish modules and can demonstrate understanding of the concepts.
Keeping data unbiased with diverse data, especially when it comes to machine learning. Good data in, good data out. Machine learning requires a great deal of data input learned over time so in our case with our Metaversity platform, we have a diverse set of beta testers representing students and users from all racial and ethnic backgrounds, age ranges, genders et al to ensure we are capturing a collective of information the machine can learn from to adapt and adjust to each individual students learning pace and needs.
While the technology has many applications in different industries, synthetic media is gearing up to be one of its most significant transformations yet, especially in education. These capabilities have led to impressive new applications for AI-powered systems in recent years — including video games, autonomous cars and drones, facial recognition, and more. But they've also raised concerns about potential privacy breaches and ethical dilemmas. Therefore, from the moment the concept is born and fingers hit the keyboard, code must undergo static and ongoing dynamic code analysis using CAST or another OWASP-approved tool that can identify certain well-known vulnerabilities, such as Buffer overflows, SQL injection flaws, and XSS and highlight problematic code that may lead to operational concerns or lack of functionality to users and keep data secure.
Anna London, Executive Contributor Brainz Magazine
Anna London is an US Army Veteran, Colon Cancer Survivor, Educator, Cyber Security Expert, Entrepreneur.
