Security News > 2020 > October > Progress in implementing ethical and trusted AI-enabled systems still inconsistent

The report notes that while organizations are more ethically aware, progress in implementing ethical AI has been inconsistent.

The progress on "Fairness" and "Auditability" dimensions of ethical AI has been non-existent, while transparency has dropped from 73% to 59%, despite the fact that 58% of businesses say they have been building awareness amongst employees about issues that can result from the use of AI. The research also reveals that 70% of customers want a clear explanation of results and expect organizations to provide AI interactions that are transparent and fair.

While globally 73% of organizations informed users about the ways in which AI decisions might affect them in 2019, today, this has dropped to 59%. According to the report, this is indicative of current circumstances brought about by COVID-19, growing complexity of AI models, and a change in consumer behavior, which has disrupted the functionalities of the AI algorithms.

Further, close to 60% of organizations have attracted legal scrutiny and 22% have faced a customer backlash in the last two to three years because of decisions reached by AI systems.

Only 53% of organizations have a leader who is responsible for the ethics of AI systems at their organization, such as a Chief Ethics Officer.

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