Guardrails in Generative AI: Ensuring Safe, Policy-Compliant Interactions, and retain Brand Persona
Year: 2025
Type: article
Abstract: Generative AI has turned out to be a pivotal technology across industries with great potential to automate content production, improve decision-making, and improve user experience. However, its widespread utilization raises serious issues, especially when it comes to providing safe, ethical, and policy-compliant interactions. The ability of generative models to generate content without human intervention necessitates the incorporation of protection measures that prevent hazardous outputs, facilitate regulatory compliance, and maintain brand integrity. The purpose of this research is to bridge the knowledge gap in terms of understanding how generative AI can be well secured to satisfy legal, ethical, and brand-specific regulations and reduce associated risks. Existing literature is primarily focused on technical capabilities and risks associated with generative models; however, there is a lack of sufficient literature synthesizing inclusive frameworks with a blend of safety, compliance, and brand persona protection.
Source: Universal Research Reports
Authors: Shilesh Karunakaran, Er. Shubham Jain
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409383457