With the rising utilization of artificial intelligence, this thesis delves into integrating automation visually within an industry, particularly focusing on auditing practices which frequently rely on manual processes, disparate systems, and underutilization of automation. These inefficiencies often result in missed opportunities to streamline audits, decrease manual labor, and enhance accuracy. Addressing this, in a platform employing AI, users seek to comprehend the functionalities and performance of AI alongside their processes. Thus, the objective is to establish a clear visual differentiation between human and AI contributions within a unified auditing platform.
Research Questions:
Question 1:
What are specific auditing tasks and procedures that can benefit most from AI automation?
Question 2:
How can I visually represent the actions taken by AI to enable auditors to easily follow its process and review relevant information?
Question 3:
How does AI-enabled automation in auditing platforms impact auditor workflow, and what are the key performance metrics to evaluate this impact?
Outcome:
Throughout this thesis project, I learned how to visualize the collaboration between humans and AI within an auditing platform. By creating visually distinct yet seamlessly integrated representations of human and AI contributions, designers can enhance user comprehension and foster trust in automated processes, mitigating any apprehension users may have towards unfamiliar technology.
Advisors:
Sarah Dunham | Advisor
SJSU Professor, Graphic Designer
Joe Miller | Advisor
SJSU Professor, Graphic Designer
Zafir Lari | Advisor
Data Analytics Manager, Accenture