• Adithya Lakkakula

The widespread adoption of Artificial Intelligence (AI) across various industries has significantly influenced the decision-making processes and enhanced productivity. Nevertheless, the complex nature of AI systems often creates confusion and apprehension among non-technical users regarding issues of fairness, bias, and ethical considerations. This study investigates techniques to enhance AI interpretability for individuals without technical expertise, emphasizing the importance of building trust and improving usability. Furthermore, it examines the ethical dilemmas associated with generative AI, particularly focusing on concerns related to bias, potential misuse, and responsibility. The paper concludes by offering suggestions to address and minimize these potential risks.

Artificial Intelligence (AI) AI Explainability Non-Technical Users Trust in AI Generative AI Ethical Implications of AI Bias in AI AI Transparency Explainable AI (XAI) Human-in-the-Loop (HITL) Systems

"AI Explainability for Non-Technical Users and Ethical Implications of Generative AI in Society", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.f538-f542, November-2024, Available :http://www.jetir.org/papers/JETIR2411560.pdf

"AI Explainability for Non-Technical Users and Ethical Implications of Generative AI in Society", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppf538-f542, November-2024, Available at : http://www.jetir.org/papers/JETIR2411560.pdf