Building Fair Machine Machine Learning Models with Python and Fairlearn: 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
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.
As we enter an era where intelligent systems are increasingly relied upon to make key decisions, responsible AI has become … Read more