Developing ethical AI has been a severe concern since the advent of this technology. And as the technology matured, designing a moral framework has been the prime motive for many researchers. With more headlines coming up for biased artificial intelligence, replicating human prejudices and discrimination, there are high chances of such issues being a significant problem when applied to critical sectors like — law, healthcare, banking etc.

Policymakers, as well as business leaders, are increasingly aware of opportunities that artificial intelligence can bring along with its risks. Yet, there has been a significant lack in coming to a consensus of creating a process that can ensure the trustworthiness of AI systems. And thus to address these issues, the World Economic Forum has come up with twelve-step guidance for organisations to design and follow AI frameworks.

In a recent blog post, Lofred Madzou, Project Lead of AI & Machine Learning and Kate MacDonald a New Zealand Government Fellow for the World Economic Forum spoke about the criticality of making sure that the behaviour of the AI system is consistent within a framework including legislation and organisational guidelines.

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