Artificial Intelligence (AI) is one of the biggest tools in innovation in the current age. However, there is increased recognition of its susceptibility to biases owing to use of biased datasets. This chapter focuses on gender bias in AI and aims to uncover the "premises" on which the national AI policies of 19 major countries around the world are based. It explores crucial questions pertaining to the intended output of AI-enabled technologies, whether the AI policies explicitly address gender, and if so, in which contexts within AI do these discussions occur. We argue that the AI policies should catch up to and stay ahead of the technology in adopting regulations that are gendered and help minimize, if not eliminate, the bias and discrimination based on gender. Based on the premises observed in policies analysed, we recommend three approaches to reimagining and reformulating an inclusive AI policy.
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Front Matter
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Part I: Diversity and innovation in different contexts
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Part II: Innovation policies, initiatives and ecosystems
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Part III: Conclusion
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Back Matter
