According to Accenture's 2022 Tech Vision research, only 35% of global consumers trust how organisations implement AI. And 77% think organisations must be held accountable for their misuse of AI. "Responsible AI practice is starting to go mainstream. In fact, Big Tech has large in-house teams and divisions under their Responsible AI practice," said Nikhil Kurhe, co-founder and CEO, of Finarkein Analytics. Responsible AI toolkits can make AI applications and systems fair, robust, and transparent. We have made a list of toolkits and resources to help implement Responsible AI.

Your stakeholders, including board members, customers, and regulators, will have many questions about your organisation's use of AI and data, from how it's developed to how it's governed. You not only need to be ready to provide the answers, you must also demonstrate ongoing governance and regulatory compliance. Our Responsible AI Toolkit is a suite of customizable frameworks, tools and processes designed to help you harness the power of AI in an ethical and responsible manner - from strategy through execution. With the Responsible AI toolkit, we'll tailor our solutions to address your organisation's unique business requirements and AI maturity.