My name is Carolina Aguayo, I am 16 years old and a student at the Academia del Perpetuo Socorro in Miramar, Puerto Rico. Science and business are two things I love. From a young age, I have been interested in starting and growing a business. A few years ago I developed a great interest in technology. I started researching artificial intelligence (AI) and was captivated by its role in our world. Since then, I have spent my free time learning more about it and I developed a research paper testing a theory on AutoML with the Cambridge Center of International Research. I’m an ambitious student, eager to learn how to bring innovative tech ideas to life in a future career as an entrepreneur.
Working as an intern at Wovenware has been a great step toward better understanding technology and how to solve problems with it. At Wovenware I learned that having dedicated team members working on a project is crucial to executing a plan successfully. Watching how the company takes an entrepreneurial idea and turns it into a reality by collaborating with knowledgeable people provided me with an understanding of how a company should carry out a project. The Wovenware team took on challenges and overcame hurdles admirably. I had the privilege of collaborating on a project and turning it into reality and sharing with the Wovenware Team the knowledge I acquired while writing the research paper on AI.
While learning about Artificial Intelligence, the first topic that I investigated was trustworthiness, when it is needed, and what makes a machine trustworthy. When starting my internship at Wovenware, I was assigned to test an app for Covid-19 home testing as a first time user. My initial reaction was to ask the following questions.
What makes this app trustworthy?
Trust is an expectation or belief that someone or something will do something. When using the COVID-19 home testing app, the user needs to trust the platform. In order to identify a trustworthy platform, there has to be sources of information supporting the data presented. Those informational sources could be documented testing, a graph, photographs, etc. Everything presented to support a claim is considered evidence. The stronger the evidence presented, the more accurate a source is. To make the app credible, Wovenware has acquired mounds of evidence from its research. Throughout the process of developing the app, the company collaborated with laboratories to ensure the home- testing kits were scientifically precise and easy to use. Wovenware has knowledgeable professionals running tests on the app’s efficiency and attending to its maintenance. Trust involves an element of risk or vulnerability, but Wovenware has made it a priority to minimize risks and optimize accuracy.
Seeing first-hand the commitment Wovenware has to developing quality AI solutions, I’m convinced that companies that need custom AI solutions can place their trust in Wovenware and its pool of talented professionals. The solutions the company is creating have a profound impact on the humans that need them.
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