Fuzzy Logic-based Explainable AI

Project Background: According to Price Waterhouse Coopers, the global economic impact of Artificial Intelligence (AI) is a mind boggling $15 Trillion, "making it the biggest commercial opportunity in today's fast changing economy" by bringing about the transformation of productivity resulting in GDP growth. To realize this immense economic potential for the safety and mission critical arena such as Health Care, Transportation, Aerospace, Cybersecurity, and Manufacturing existing vulnerabilities need to be clearly identified, and addressed. The end user of such applications as well as the taxpaying public will need assurances that the fielded systems can be trusted to deliver as tasked. Moreover, recent developments evaluating the trustworthiness of high performing black-box” AI has classified them using the term "Brittle AI". These developments coupled with a growing belief in the need for "Explainable AI" has led major policy makers in the US and Europe to underscore the importance of "Responsible AI". Over the past three decades, Dr. Kelly Cohen’s research has been focused on developing fuzzy logic-based AI solutions that are explainable and responsible. Figure 1 illustrates the key principles of Responsible AI.

Research Tasks Proposed:

  1. Understanding the need for responsible AI and main challenges 
  2. Learning basics of Fuzzy Logic AI programming using MATLAB 
  3. Application of Fuzzy Logic AI to an impactful engineering use case 
  4. Cross-discipline collaboration skills: presentation, writing skills; 
  5. Potential for research publications and presentations at the local and national levels.

Research Location: This research project will be completed in the AI Bio Lab at Digital Futures (third floor, Suite #300)

key principles of responsible AI, listed as privacy, transparency, accountability, reliability, fairness

Key Principles of Responsible AI https://www.altexsoft.com/blog/responsible-ai/

Director

Headshot of Kelly Cohen

Kelly Cohen

Brian H. Rowe Endowed Chair in Aerospace Engineering , CEAS - Aerospace Eng & Eng Mechanics

745 Baldwin Hall

Dr. Kelly Cohen, the Brian H. Rowe Endowed Chair in aerospace engineering, has been a faculty member since 2007 in the Department of Aerospace Engineering and Engineering Mechanics at UC's College of Engineering and Applied Science. His career is marked by achievement in the field of aerospace engineering and education, including the UC Faculty Career Award, SOCHE (Strategic Ohio Council for Higher Education) Excellence Award, UC George Barbour Award for Good Faculty-Student Relations, UC Faculty Core Values Award, UC Dolly Cohen Award for Excellence in Teaching, the American Institute of Aeronautics and Astronautics Outstanding Technical Contribution Application Award, the CEAS Distinguished Researcher Award and the Greater Cincinnati Consortium of Colleges and Universities Excellence in Teaching Award, among many others. Dr. Kelly Cohen has been passionate about his mentoring of graduate students having graduated 12 PhD students and 33 MS students. His main expertise lies in the area of Artificial Intelligence (AI), intelligent systems, UAVs and optimization. He has utilized genetic fuzzy logic-based machine-learning algorithms for control and decision-making applications in the area of autonomous collaborating robotics as well as predictive modeling for personalizing medical treatment in neurological disorders and more recently ensuring safety of workers in safety-critical plants/systems. During the past ten years, he has secured grants from NSF, NIH, USAF, DHS, DOT, ODOT, OFRN, and NASA to develop algorithms for UAV applications as well as AI. Since 2010, he has 167 peer-reviewed archival publications, 3 edited books, 75 book chapters, and another 410 conference papers/presentations and invited seminars.
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