Artificial intelligence (AI) powers Googles search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. As AI technologies become increasingly sophisticated and integrated into our lives, ethical concerns have grown around issues such as privacy, bias, transparency, accountability, explainability, and the potential misuse of AI. In response to these and other ethical concerns, organizations and governments have developed various frameworks and guidelines for the responsible development and use of AI. These frameworks typically include principles such as transparency, fairness, accountability, and human-centric design.
This programme offers a deep understanding of the ethical considerations, tools and frameworks to promote ethical development and deployment of AI, legal and regulatory enablements to ensure Responsible AI practices. This knowledge is essential in designing and managing AI based products. Participants will critically examine potential threats arising from AI applications, along with a comprehensive study of various tools and frameworks to ensure responsible AI practices.
Specifically, AI Challenges and Apprehensions in Deployment including threat Scenarios from AI and Big data, Bias and Fairness, Privacy, Liability, Fake News, Misinformation, Disinformation; Copyright Infringement, AI Hallucinations and why you should Think about Responsible AI; Governing principles of Responsible AI across geographies; Techniques and frameworks to promote Ethical development and deployment of AI, auditing AI algorithms for fairness, Machine unlearning algorithms, synthetic data generation, AI bias mitigation strategies, Explainable AI frameworks, AI Governance Testing Frameworks, Ethical AI frameworks, laws and regulations, etc
