What is Responsible AI?
Responsible AI refers to a dedication to building, developing, and deploying AI models in a safe, fair, and ethical manner. Responsible AI can help to promote trust, guard against harm, and improve model performance by ensuring that models perform as expected.
How Open AI’s LLM trained?
GPT-4, the most recent version of OpenAI’s large language model (LLM), is trained on internet text and pictures, and as we all know, the internet is riddled with mistakes ranging from minor misstatements to outright fabrications. While these myths can be damaging on their own, they always result in AI models that are less accurate and intelligent. Responsible AI can assist us in resolving these issues and progressing towards better AI development.
Which are the things that Responsible AI can do?
Responsible AI focuses on correcting biases that may be incorporated into AI models inadvertently during development. Responsible AI promotes the creation of models that perform effectively in a variety of settings and populations. The need of openness in AI systems is emphasised by responsible AI, making it easier for users and stakeholders to understand how decisions are made and how the AI operates.
Responsible AI is the cornerstone for constructing accurate, effective, and trustworthy AI systems; responsible AI leads to better-performing AI models by removing biases, improving generalizability, assuring transparency, and preserving user privacy. Compliance with legislation and ethical guidelines is critical in encouraging public trust and acceptance of AI technology, and as AI advances and pervades our lives, the demand for software solutions that support responsible AI practises will only increase.