Ethical norms and values in the context of generative AI
The ethical norms and values guiding the development and deployment of generative AI are rooted in transparency, equity, accountability, privacy, consent, security, and inclusivity. These principles can serve as a foundation for developing and adopting systems aligned with societal values and supporting the greater good. Let’s explore these in detail:
- Transparency involves clearly explaining the methodologies, data sources, and processes behind large language model (LLM) construction. This practice builds trust by enabling stakeholders to understand the technology’s reliability and limits. For example, a company could publish a detailed report on the types of data trained on their LLM and the steps taken to ensure data privacy and bias mitigation.
- Equity in the context of LLMs ensures fair treatment and outcomes for all users by actively preventing biases in models. This requires thorough analysis and...
