The End Of Knowledge - Vault 4/4 - AI For Good - 2017 - Poverty Reduction and Capacity Building

graph LR classDef empowerment fill:#d3f4ff, font-weight:bold, font-size:12px classDef accessibility fill:#ffd3e0, font-weight:bold, font-size:12px classDef education fill:#d3ffd4, font-weight:bold, font-size:12px classDef practical_use fill:#fff3d3, font-weight:bold, font-size:12px classDef algorithm fill:#f3d3ff, font-weight:bold, font-size:12px classDef collaboration fill:#f9f9d4, font-weight:bold, font-size:12px A[Poverty Reduction and
Capacity Building] A --> B[Empower people with AI:
key question. 1] B --> C[AI: black box,
controlled by organizations. 2] C --> D[Make AI usable,
accessible, transparent. 3] A --> E[AI learns about
people from data. 4] E --> F[Easy AI controls
like cars steering. 5] A --> G[Basic understanding of
AIs capabilities. 6] G --> H[Precision agriculture with AI
under farmers control. 7] A --> I[AI aids disaster
recovery if used correctly. 8] I --> J[Individualized education with
AI, teachers. 9] A --> K[AI reduces inequality
through virtual agents. 10] K --> L[Design AI for
peoples needs. 11] A --> M[Learn to use AI
for own ends. 12] M --> N[Forums help make
AI empowering. 13] A --> O[Public lacks AI
literacy and understanding. 14] O --> P[The Master Algorithm book
accessible to all. 15] A --> Q[Master algorithm unifies
machine learning. 16] Q --> R[AI not yet at
internet connectivity stage. 17] A --> S[Master algorithm learns
all tasks from data. 18] S --> T[Develop master algorithm
concept for everyone. 19] A --> U[Make master algorithm function
within constraints. 20] class B,C,D empowerment class E,F accessibility class G,H education class I,J education class K,L practical_use class M,N collaboration class O,P collaboration class Q,R algorithm class S,T algorithm class U algorithm

Resume:

1.- A key question is how to empower people with AI, which has great potential to serve people if they understand and control it.

2.- Currently AI is largely a black box controlled by large organizations, not individual people, families and communities.

3.- Technologists have a responsibility to make AI usable, accessible, inexpensive and transparent for a wide variety of users.

4.- Machine learning systems learn about people from data but people often don't know this is happening or have insight into the systems.

5.- People should have easy controls over AI systems, like a car's steering wheel and pedals, without needing to understand the technical details.

6.- Everyone needs a basic understanding of what AI can do for them, even if they don't know the technical depths.

7.- Precision agriculture using AI modeling can be very productive if the technology is under the farmer's control and the farmer knows how to use it.

8.- AI can help people self-organize in disaster recovery scenarios if they have the right tools and know how to use them.

9.- AI has potential to provide more individualized education, like a teacher for each student, but needs to work with real teachers and students.

10.- AI can greatly reduce inequality by making expensive services like doctors, lawyers, loan officers much less expensive through virtual agents.

11.- For AI to empower people, it must be designed with them in mind, not just the populations it tends to serve today.

12.- People need to learn how to best use AI, machine learning, natural language processing etc. for their own ends.

13.- We have a lot of work to do to make AI empowering and forums like this can help make progress.

14.- There are concerns we don't have sufficient public literacy and are immersing AI we don't fully understand into our systems.

15.- The book The Master Algorithm aims to make an understanding of AI accessible to citizens and decision makers, not just specialists.

16.- The master algorithm provides a unified framework for machine learning that lets everyone use it without worrying about the technical details.

17.- It's like the internet connecting networks - you don't need to know which network you're using. We're not at that stage with AI yet.

18.- A learning algorithm is a "master algorithm" that can learn to do all sorts of things when fed different data, like a master key.

19.- We need to develop this concept of a master algorithm in everyone's minds.

20.- Technologists need to make a working master algorithm available that functions within the constraints and objectives we give it.

Knowledge Vault built byDavid Vivancos 2024