Knowledge Vault 4 /36 - AI For Good 2019
Executive Vice President, Global Good Fund
Maurizio Vecchione
< Resume Image >
Link to IA4Good VideoView Youtube Video

Concept Graph & Resume using Claude 3 Opus | Chat GPT4o | Llama 3:

graph LR classDef innovation fill:#d4f9d4, font-weight:bold, font-size:14px classDef globalGood fill:#f9d4d4, font-weight:bold, font-size:14px classDef focus fill:#d4d4f9, font-weight:bold, font-size:14px classDef goal fill:#f9f9d4, font-weight:bold, font-size:14px classDef aiTool fill:#f9d4f9, font-weight:bold, font-size:14px A[Executive Vice President,
Global Good Fund] --> B[Next AI innovation
from data, privacy implications. 1] A --> C[Global Good Fund: sister
to Gates Foundation. 2] C --> D[Focus: bottom 4 billion
in lower-income countries. 3] C --> E[Goal: catalytic innovations for
healthcare, agriculture. 4] A --> F[AI camera software
screens cervical cancer. 5] F --> G[Scaling globally with WHO,
UNICEF, CHAI. 6] A --> H[Large datasets raise
privacy, ethics concerns. 7] A --> I[Medicine AI success
shows collaboration power. 8] A --> J[UN brokers collaborations
for greater good. 9] A --> K[Conference catalyzes consortiums
for public benefit. 10] class A,C,J,K globalGood class B,H innovation class D,F aiTool class E goal class G focus

Resume:

1.- The next frontier in AI innovation will come from data, including implications around privacy and data curation in machine learning.

2.- The Global Good Fund is a sister organization to the Gates Foundation, using philanthropic funding to drive high-risk, high-impact science and technology.

3.- It focuses on the bottom 4 billion people in lower and middle-income countries who have been passed by technological innovation.

4.- The goal is to find catalytic innovations that can change healthcare and agricultural productivity for the better in the developing world.

5.- A case study is AI software on camera phones that can screen for cervical cancer better than the most advanced lab techniques.

6.- This invention, in partnership with NCI, is now scaling globally as a new standard of care with WHO, UNICEF and CHAI.

7.- Collecting large datasets raises privacy and ethics concerns, mainly in the first world, about data ownership and who should benefit.

8.- Early AI successes in medicine show the power of collaborative ecosystems - no single entity can own the entire solution.

9.- The spirit and direction is one of collaboration, with the UN system acting as a broker of those collaborations.

10.- The conference is timely and well-positioned to catalyze consortiums confederating companies, academic researchers and clinical researchers for the greater good.

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