The Case for a Global Responsible AI Framework - KDnuggets

The design and use of artificial intelligence is proving to be an ethical dilemma for companies throughout the United States considering its implementation. While currently only 6% of companies have embraced AI-powered solutions across their business, according to a survey by Juniper Networks, another 95% of respondents indicated they believe their organization would benefit from embedding AI into their daily operations, products and services. Which begs the question, if there is so much interest in the application of AI, then why is it taking companies so long to get on board? The lagging and inconsistent adoption of responsible AI is one of the challenges companies are grappling with when it comes to AI. Currently, there are three elements that contribute to ethical concern around AI: privacy and surveillance, bias and prejudice, and the role of differing human values in the implementation and execution of AI.