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

TL;DR

This paper explores the challenges and opportunities of AI-generated code, emphasizing transparency and safety, and discusses future implications for software development and AI-human interaction.

Contribution

It provides a comprehensive analysis of current risks, market opportunities, and proposes solutions to improve transparency and safety in AI-generated software.

Findings

Identification of key risks in AI-generated code

Discussion of market opportunities for detection tools

Proposals for enhancing transparency and safety measures

Abstract

As artificial intelligence 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 longterm 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.