On August 10, 2024, SG100 Movement hosted its thought-provoking “AI for Humanity” event. It brings together diverse voices to explore the transformative potential of generative AI. It was anchored on the book by the same name with five facilitators: Andrew Chow, CSP, Tay Guan Hin, Uma Chia, Tan Siok Siok, James Ong. Though it was on a Saturday morning, the event attracted more than 50 people in attendance.
Highlights
Three key tracks for discussion featured on the event
- GenAI and Future Readiness: Discussions centered on leveraging AI for career reimagination and personal growth. Then, participants shared insights on using GenAI to upskill and identify new career opportunities. “One of the most memorable, energetic, and insightful event!” said Jacqueline Lim
- Human-AI Symbiotic Collaboration: This track delved into fostering symbiotic relationships between humans and AI. The key focal points were ethical considerations, including privacy and accountability in AI development. Additionally, Masni mentioned, “It was an enlightening session! The discussions on GenAI’s potential to transform personal growth and creativity were truly eye-opening. Grateful to have been part of this inspiring conversation!”
- AI for Social Impact: Participants explored GenAI applications for addressing global healthcare, education, and climate change challenges. They emphasized the role of youth in shaping AI for social good. “I loved the way that Andrew taught and used analogies. Thank you for being so generous with your knowledge,” said Leona Ziyan.
The event’s interactive format, featuring icebreakers, core discussions, and open-ended prompts, encouraged storytelling and diverse perspectives. Participants also grappled with ethical considerations and envisioned a future where AI is seamlessly integrated into daily life.
By fostering collaboration and critical thinking, SG100’s “AI for Humanity” event also took a significant step towards ensuring that the development of AI aligns with human values and contributes to a more equitable and inclusive future.
Moreover, one of the co-founders, Eugene, said, “I believe the future of Singapore depends mainly on regular folks like me doing our part to add value to others, not just relying on the government to do their part. One of my passions is to mentor the next generation and help them discover clarity for their life purpose and career direction. I look forward to more mentors and volunteers stepping forward to contribute to our SG100 movement.”
About AI for Humanity
AI For Humanity: Building a Sustainable AI for the Future delivers an incisive and timely guide on nurturing cutting-edge AI sustainably and ethically.
Therefore, discover the three pillars of Sustainable AI—governance, technology, and commercialization—and explore the interdisciplinary synergy necessary to balance innovation with responsibility. Then, by making the paradigm shift from “AI as Usual” to “AI for Humanity,” you can mitigate risks with wisdom and ensure AI aligns with human values.
The coauthors of this book bring diverse expertise to demystify AI’s complexities. In fact, the interdisciplinary team includes:
- Dr. James Ong, an AI scientist with nearly four decades of experience.
- Andeed Ma, an AI governance expert and risk management leader.
- Siok Siok Tan, a filmmaker and innovator whose works explore the intersection of technology and social change.
About SG100 Movement
SG100 is a movement that empowers Singapore’s future by engaging youth and communities in nation-building activities. The initiative aims to inspire young Singaporeans to take leadership roles and contribute to the country’s progress. Through various programs, events, and partnerships, SG100 encourages intergenerational collaboration, fostering shared responsibility and commitment toward Singapore’s future. Additionally, the movement emphasizes unity, resilience, and proactive participation in shaping a better Singapore. Ultimately, it also aims to create a positive impact for the next 100 years. The founding team members are Willy Tan, Eugen Seah, Vernon Yim, Spencer Tan, and Liu Yuantai.
