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.
Welcome to the dawn of a new era in digital interaction! With the advent of Generative AI, we’re witnessing a remarkable revolution that’s changing the very nature of how we interact with software and digital services. This change is monumental. Leading the charge are the latest generation of AI-powered virtual assistants, aka “AI copilots”. Unlike … Read more
As we enter an era where intelligent systems are increasingly relied upon to make key decisions, responsible AI has become more critical than ever before. It’s not enough to simply rely on data-driven decision-making; we must also ensure that these systems are fair and just. But how can we do this when the same bias … Read more
