Word count: 3500 words
Objectives to cover:
Introduction – An overview of the growing role of AI in consumer products and the need for trust.
Objective – To examine how Explainable AI (XAI) influences customer trust in AI-driven products.
Background – A brief history of AI integration into consumer-facing applications and services.
Understanding XAI – Defining Explainable AI and its importance in fostering user confidence.
Literature Review – Summarizing existing research on the relationship between XAI and user trust.
Methodology – Outline of the research approach, including data collection and analysis strategies.
Case Studies – Real-world examples demonstrating the implementation and impact of XAI.
Findings – Key observations on how XAI affects customer perception, transparency, and trust.
Conclusion – Final thoughts on XAI’s role in trustworthy AI and recommendations for future work.
Reference: IEEE style