Rethinking Intelligence: AI, Accessibility, and the Future of Inclusive Work - Artur Ortega

Accessibility isn't an obstacle for technology; it's the driver. See how AI can build more humane systems that work for everyone.

#1about 4 minutes

Putting people at the center of AI systems

AI systems should be built with human-centric values to avoid bias and serve the real needs of all users, especially disabled people.

#2about 2 minutes

Introducing vibe coding for natural language programming

Vibe coding allows developers to use natural language to express intent and emotion, removing the cognitive load of syntax and making coding more accessible.

#3about 4 minutes

How accessibility needs have historically driven innovation

Many mainstream technologies like transistors and gesture controls originated as solutions for disabled people, proving accessibility is a catalyst for good technology.

#4about 4 minutes

Using AI for human impact, not just productivity

The true value of AI is not just replacing jobs or increasing output, but solving real human problems and creating a positive impact on people's lives.

#5about 4 minutes

Leveraging AI to experiment and improve code quality

AI enables developers to quickly generate multiple versions of a feature, facilitating A/B testing and shifting the focus from production to curation and creating more intuitive solutions.

#6about 4 minutes

The shift from graphical UIs to agentic AI

Agentic AI and protocols like MCP are replacing traditional click-based interfaces, allowing users to automate tasks and interact with systems using natural language.

#7about 5 minutes

Creating accessible architecture diagrams with AI and Mermaid

AI can translate visual architecture diagrams from tools like Lucidchart into textual formats like Mermaid, making them accessible, version-controllable, and easier to maintain.

#8about 6 minutes

AI as a control plane for delegating complex work

AI is evolving into a control plane that understands natural language, allowing professionals to delegate tasks like coding and analysis while they focus on supervision and strategy.

#9about 6 minutes

Adopting the social model of disability in tech

Technology should be used to fix inaccessible systems and processes rather than attempting to "fix" disabled people, aligning with the social model of disability.

#10about 3 minutes

How diversity and inclusion create resilient systems

Diversity, equality, and inclusion are not regulatory burdens but essential components for building less fragile, more resilient teams and systems through varied perspectives and psychological safety.

#11about 9 minutes

Why disabled people are innovation's hardcore users

Disabled people are not edge cases but are often early adopters and power users whose needs drive innovation, making their inclusion essential for shaping a useful AI future.