¿Qué nos hace humanos en la era de las máquinas? | Pablo Corral | TEDxQuito

Quick Overview

Pablo Corral argues that human intelligence is not superior to other forms of intelligence, like artificial intelligence or nature's intelligence, emphasizing that our limited sensory perception prevents us from grasping the full complexity of reality, which is better navigated through dialogue, tenderness, and curiosity across diverse forms of existence.

Key Points: Human intelligence is not absolutely superior; we must recognize the intelligence in AI and the natural world, such as in the 2,000-year-old forest ecosystem shown. The speaker points to the limitations of human sensory perception, noting we only perceive a minuscule part of the electromagnetic spectrum (00:47:05). Corral presents his photographic work, 'Bestiario Americano,' which uses AI (Midjourney) to create hybrid characters that challenge stereotypes and force new dialogues (00:48:48). The talk advocates for a new paradigm based on dialogue, tenderness, and curiosity, rather than control and espionage, when engaging with non-human intelligences (00:53:00). He contrasts the vertical intelligence of machines (like the Terminator eye) with the horizontal intelligence found in nature and human relationships (00:55:08, 01:21:12). The speaker concludes that our capacity for deep emotion, like love and grief (shown in images of couples and mourners), is a fragile but profound aspect of our existence (01:58:00, 02:20:00). The essential question becomes: what makes us human if our intelligence is limited, and how do we relate to other forms of intelligence?

Context: Photographer Pablo Corral delivers a TEDxQuito talk exploring the boundaries and assumptions surrounding human intelligence, particularly in the context of emerging artificial intelligence and the vast, often unseen, intelligence present in the natural world. He uses striking, often surreal, photographic and data-driven visuals from his projects, like 'Bestiario Americano,' to challenge anthropocentric views and advocate for a more humble, curious, and relational approach to understanding complexity.