Future of Code with Generative AI: Transparency and Safety in the Era of AI Generated Software

Future of Code with Generative AI: Transparency and Safety in the Era of AI-Generated Software By David Hanson Ph.D. Abstract As artificial intelligence (AI) becomes increasingly integrated into software development processes, the prevalence and sophistication of AI-generated code continue to expand rapidly. This study addresses the critical need for transparency and safety in AI-generated code by examining the current landscape, identifying potential risks, and exploring future implications. We analyze market opportunities for detecting AI-generated code, discuss the challenges associated with managing increasing complexity, and propose solutions to enhance transparency and functionality analysis. Furthermore, this study investigates the long-term implications of AI-generated code, including its potential role in the development of artificial general intelligence and its impact on human-AI interaction. In conclusion, we emphasize the importance of proactive measures for ensuring the responsible development and deployment of AI in software engineering. Introduction The integration of artificial intelligence (AI) into software development processes marks a pivotal development in the evolution of computer programming. As AI-generated code becomes increasingly prevalent and sophisticated, it introduces both significant opportunities and complex challenges for software engineering.