Building a Virtual AI Assistant (aka Copilot) for Your Software Application: Harnessing the Power of LLMs like ChatGPT
Welcome to the dawn of a new era in digital interaction! With the advent of Generative AI, we’re witnessing a … Read more
Responsible AI
Responsible AI refers to the development, deployment, and use of artificial intelligence (AI) systems that are transparent, explainable, fair, secure, and accountable. Responsible AI aims to ensure that AI systems are developed and used in a way that benefits society, respects human rights, and mitigates potential risks and harms. This involves taking into account ethical, legal, and social considerations throughout the AI lifecycle, including data collection, algorithm design, model training, deployment, and monitoring. Responsible AI is increasingly important as AI becomes more widespread and integrated into various aspects of our lives, from healthcare and finance to education and transportation.
Using Fairlearn to Build Fair Machine Machine Learning Models with Python: Step-by-Step Towards More Responsible AI
As we enter an era where intelligent systems are increasingly relied upon to make key decisions, responsible AI has become … Read more