The nation’s leading interdisciplinary hub for the development of applied Artificial Intelligence (AI) & data science-based solutions, innovation, research & talent in support of national security.
Welcome to FINS @ UF@fins_uf is truly multidisciplinary.
We are comprised of faculty from various disciplines - including @AnthropologyUF, @uf_english & @UFPsychology from @UF_CLAS + @UFEntNem from @UFCALS and @ECEatUF, @UFCISE ,@UFMSE, @uflmae, & @essie_uf from @UFWertheim -all performing research involving #UFAI in their respective fields.
As Artificial Intelligence (AI) solutions become ever more ubiquitous, there is still a serious lack of understanding in how these systems make decisions. The brittle nature of the statistical correlations learned by these models are often overlooked. To address this gap, Explainable and Interpretable Artificial Intelligence (XAI) research seeks to explain how and why models make their decisions. Without this understanding, users of AI systems are left blindly trusting the output of their AI models. Especially in high-stakes decision-making such as with self-driving cars and criminal sentencing, XAI methods provide trust anchors in how these systems work in order to verify the validity of these decisions and debug them when they are not...
Read more... ResearchAs Artificial Intelligence (AI) solutions become ever more ubiquitous, there is still a serious lack of understanding in how these systems make decisions. The brittle nature of the statistical correlations learned by these models are often overlooked. To address this gap, Explainable and Interpretable Artificial Intelligence (XAI) research seeks to explain how and why models make their decisions. Without this understanding, users of AI systems are left blindly trusting the output of their AI models. Especially in high-stakes decision-making such as with self-driving cars and criminal sentencing, XAI methods provide trust anchors in how these systems work in order to verify the validity of these decisions and debug them when they are not...
Read more...Research