Cómo usar IA para tener impacto social | Sonia Jalfin | TEDxRiodelaPlata
Quick Overview
Sonia Jalfin argues that Artificial Intelligence (AI) must be intentionally guided by human values and ethical considerations, such as reducing inequality and promoting education, rather than being left to its own devices, citing examples where organizations like BID and Mennonite Engage are actively working with AI to achieve social impact, which is crucial because unchecked AI development can lead to negative consequences like spreading disinformation.
Key Points: AI is currently creating new actions and is already being used by organizations like BID and Mennonite Engage to promote social impact, such as reducing poverty and inequality. Organizations like BID (with 66 years of history in Latin America) and Mennonite Engage (working with refugees in Kenya) successfully use AI to assist vulnerable populations. The speaker emphasizes that relying solely on AI without human guidance, or leaving it to operate without ethical controls, is dangerous. The development of AI models, exemplified by organizations like Shacker-in-Health answering 6,000 questions daily for pregnant women in Kenya, is heavily biased or skewed if not intentionally directed. The speaker proposes inventing new, audacious, and consistent actions that leverage AI to improve life for everyone, rather than just using it to solve existing problems. The inherent bias in current AI models means they may not know how to respond to certain problems, necessitating human intervention and ethical framing.
Context: Sonia Jalfin delivers this TEDxRiodelaPlata talk focusing on the critical role of human intention and ethics in shaping the impact of Artificial Intelligence (AI). She contrasts the potential for AI to create new social actions with the risk of its unguided deployment, highlighting how established organizations are already integrating AI to address major social issues like poverty and inequality, emphasizing that the technology itself is neutral but its application requires careful direction.