On September 27, 2023, HER LXN (Her Learn X Network) hosted a groundbreaking virtual webinar with the theme “AI for All: Breaking Bias & Cultivating Diversity.” Expert speakers, including Una Wang, Founder of LingoAI, Ada Lim, Co-Founder of Glee Trees, and Oliver Tian, Honorary Advisor at the Asia Pacific Assistive Robotics Association (APARA), converged to explore the profound impact of artificial intelligence (AI) on diversity and inclusivity. Here’s a concise recap of the key highlights from this transformative virtual event:
HER LXN’s Inclusive Mission:
Renee, from HER Entrepreneur and MD for Hashtaqs, set the tone by welcoming attendees and emphasizing HER LXN’s mission: creating an inclusive and diverse community that inspires, educates, empowers, and connects female leaders and entrepreneurs across Asia.
Fostering Innovation:
Throughout the sessions, the event’s core vision of fostering an ecosystem where women-led businesses drive innovation and positive change was evident.
Entrepreneurship and Community Building:
Renee shared updates on the expansion of HEREntrepreneur in Asia, introducing new chapters in countries including Singapore, Malaysia, Indonesia, the Philippines, Thailand, Vietnam, and Australia. Speakers introduced themselves, fostering collaboration within the HEREntrepreneur community.
AI’s Role in Diversity:
The event allocated significant time to explore AI’s role in fostering diversity and inclusivity. Insights from Una Wang, Oliver Tan, and Ada Lim underscored AI’s transformative impact.
Diverse AI Teams:
Emphasizing the critical importance of diversity within AI development teams, the event highlighted how diverse perspectives lead to more accurate and unbiased results.
Responsible AI Usage:
Shifting focus to responsible AI usage, speakers stressed the need for education on responsible AI use, including open-source software and democratizing AI access for all.
Addressing Concerns:
The final discussions addressed concerns related to job loss and diversity in the workforce due to AI adoption, emphasizing the need to maximize AI’s positive impact while minimizing potential drawbacks.
AI Education, Responsible Use, and Readiness:
A key theme was the importance of AI education and responsible use, with an emphasis on precision technology, readiness, and democratizing AI education.
AI Adoption and Diversity in the Workplace:
The role of diversity in AI adoption for business resilience was central, highlighting its potential to enhance adaptability and resilience in the face of technological disruption
AI Risks and Data Ownership:
Discussions touched on the risks associated with training larger AI models and the privacy concerns stemming from centralized data.
AI Adoption, Diversity, and Ethics in Business:
The concept of “AI for all people” emerged, promoting diversity, decentralization, and the incorporation of human values into AI design to ensure inclusivity and trustworthiness.