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Shreya Krishnan, Managing Director of AnitaB.org India, discusses the progress and challenges of gender inclusivity in the Indian tech industry. She highlights the persistent issue of gender bias in AI and machine learning, stressing the need for diverse development teams. Krishnan outlines proactive steps taken by AnitaB.org India to promote diversity and equity, including mentorship programs and initiatives addressing systemic barriers.
Despite notable advancements, the gender gap remains, especially in senior and technical roles. Organizations often struggle to embed inclusion as a cultural advantage, necessitating sustained efforts to ensure gender inclusivity becomes a fundamental practice. AnitaB.org India aims to create a more inclusive tech industry, focusing on empowering women and nonbinary individuals through various programs and events.
• Gender bias in AI arises from biased data and lack of diverse perspectives.
• Diverse development teams are crucial for ethical AI practices.
Gender bias in AI can result in algorithms that reinforce stereotypes or marginalize certain groups.
Such diversity is essential in AI development to mitigate biases and create more inclusive technologies.
Ethical AI practices are emphasized to prevent biases in AI algorithms and promote inclusivity.
AnitaB.org India focuses on empowering women and nonbinary individuals through various initiatives and programs.
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