Women Leading the AI Revolution: Ethics, Inclusion & Impact

By: Dr. Sujata Seshadrinathan, Co-founder & Director of IT and Process, Basiz Fund Services

Dr. Sujata Seshadrinathan is the Co-founder and Director of IT, Product & Process at Basiz Fund Services, India’s only global fund administrator and a world leader in financial reporting. A serial entrepreneur and innovator, at Basiz, she brings over two decades of deep expertise in software design, fund administration, and financial process engineering.

Dr. Sujata has developed proprietary algorithms, led blockchain-driven transformation at Basiz, and holds patents in fund-tech and legal-tech automation. A passionate mentor and speaker, she also co-leads the Sujata Sesh Foundation, dedicated to education, healthcare, women’s empowerment, and community development.

In the following article, Dr Sujata talks about AI Adoption & the Role of Women Leaders.

AI is set to alter the way we perceive the world with widespread adoption. We are witnessing extensive integration of AI into our daily lives, which comes along with a significant economic impact. Women leaders are at the forefront of this AI adoption and integration, fundamentally shaping the future of AI by embedding ethical considerations, diverse perspectives, a human-centered approach, and bridging policy, research, and society into the core of AI development.

With most major companies committing to responsible AI frameworks, the involvement of women leaders is crucial for mitigating biases and ensuring that AI technologies are inclusive and beneficial for all of society.

Women continue to lead the AI revolution through their specific contributions. Here’s taking a closer look at how women are powering AI progress.

Ethical AI & Mitigating Biases

The development and usage of AI have given rise to many ethical concerns, including bias, the impact of AI on jobs, potential for misuse, spreading misinformation, and environmental impact from energy consumption.

Women leaders are seen to be constantly highlighting the risks of bias, surveillance, and misinterpretation, pushing for AI that aligns with fairness, transparency, and social good. They emphasize inclusive design, which ensures that AI systems reflect the needs of all users.

Diversity, Equity, and Inclusion in AI

Pioneers like Joy Buolamwini, whose research has exposed racial and gender biases in facial recognition software, are pushing for just systems and more proactive accountability. At the intersection of Diversity, Equity, and Inclusion (DEI) principles with artificial intelligence, there exist both opportunities for advancing DEI and risks of reinforcing existing biases.

Diverse leadership teams create more balanced datasets, design choices, and outcomes. This diversity of thought helps ensure that AI applications address a wider spectrum of business and societal needs, like inclusive educational tools and female-specific financial or healthcare solutions, rather than serving a narrower demography.

Promoting Human-Centered Technology

The need of the hour is an approach to designing AI that prioritizes human needs, values, and well-being by promoting human-centered technology. AI systems should enhance, rather than replace, human capabilities.

An emphasis on a "human-first" approach by women leaders is leading to prioritizing our well-being and the societal impact of technological advancement. Skills such as emotional intelligence and integrative problem-solving bridge the gap between technology and empathy, leading to building trust. This ensures that AI development is guided by morality and human values, not just performance metrics; it enhances human capabilities, rather than replacing or depleting them.

It is important to remember that AI functions only as well as it is trained; morally, culturally, ethically, logically, and through data. Therefore, women, as natural teachers and nurturers, are well-equipped to create meaningful datasets.

Shaping AI Policy & Governance

Women in AI leadership roles are often mediating the gap between technical communities, policy and law makers, and civil society. Key aspects to driving policy and governance include establishing principles like fairness, safety, and accountability, implementing technical and regulatory measures to mitigate risks such as bias and privacy breaches, and fostering transparency and stakeholder involvement throughout the AI lifecycle.

Women have a key role in shaping the regulatory landscape for responsible governance of AI through frameworks like the EU AI Act, AI Bill of Rights, and UN gender-inclusive digital policy. It is to be noted that in India, the regulation is getting to be centred around every use case of AI rather than a general constraint on the power of the chips, as is being done in some parts of the world.

Bridging the Gender Gap in AI

There is a significant and persistent gender gap among AI professionals, with women making up only 22% of them globally. This could lead to significant distortions and disadvantages to the perspectives mentioned above.

Women leaders are addressing this by promoting mentorship and advocacy, and are dedicated to mentoring the next generation. They spearhead initiatives, mentor organizations, and educational outreach programs to inspire young women and girls to pursue careers in STEM and AI, thereby seeking to diversify the future talent pipeline.

Women Leading AI Innovation

Beyond ethics and equity, women are at the forefront of groundbreaking technical advancements by pioneering innovation. Their approach redefines leadership and innovation from an authoritative to a collective empowerment process.

A growing number of women are leading AI startups as well as global research organizations like DeepMind and initiatives at companies like IBM, for developing innovative solutions in various sectors, including healthcare and data analytics.

A Future Shaped by Empathy and Inclusion

Women play a pivotal role in guiding AI development away from mere dominance and disruption, towards empathy, ethics, diversity of thoughts, accountability, and inclusivity. The perspective of women leaders is not only a niche requirement but also a strategic necessity, ensuring balanced and innovative development of AI. Through interdisciplinary work and mentorship, women leaders are shaping a future where technology advances in line with social responsibility and is more equitable, robust, and beneficial for all of humanity.