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REGISTRATION & LIGHT BREAKFAST

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WELCOME

WHY DO WE NEED TO INVEST IN AI FOR GOOD?

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AI for Good: The Foundations

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AI and the UN Sustainable Development Goals

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What is the Current AI for Good Landscape?

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COFFEE

AI FOR GOOD GLOBAL INITIATIVES & CHALLENGES

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Common Goals of AI and Society: Who is Responsible?

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Initiative Accelerating AI for Social Good: Key Stakeholders

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Artificial Intelligence & Avoiding Human Pitfalls

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LUNCH

AI FOR GOOD CASE STUDIES: EDUCATION & HEALTHCARE

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Douglas Eck

Douglas Eck - Principal Scientist - Google

The Role of Machine Learning in the Process of Creating Art & Music

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Girmaw Abebe Tadesse

Girmaw Abebe Tadesse - ML Postdoc Researcher - University of Oxford

Machine Learning for Diagnosis of Cardiovascular & Infectious Diseases

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Image Classification in Medicine

AI FOR GOOD CASE STUDIES: POVERTY & INEQUALITY

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Utilizing AI to Create More Personalized Policies

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Satellite Imagery to Identify Poverty Stricken Areas

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COFFEE

AI FOR GOOD CASE STUDIES: FOOD & AGRICULTURE

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George Kantor

George Kantor - Founder - Farmview

Bringing AI to the Field: Robotics and Sensing in Agricultural Applications

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Demand Forecasting to Reduce Food Waste

COMMON CROSS-INDUSTRY CHALLENGES

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PANEL: Where do the Common Roadblocks Lie & Can Collaboration Cure All?

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CONVERSATION & DRINKS

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DOORS OPEN

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WELCOME

STARTUP SESSION

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AI for Accessible Education

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Volodymyr Kuleshov

Volodymyr Kuleshov - Co-Founder & CTO - Afresh

Towards a Sustainable Food Supply Chain Powered by AI

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AI & Social Work: Can AI Save Lives?

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How Artificial Intelligence is Impacting the Future of Immigration

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COFFEE

AI FOR GOOD CASE STUDIES: ENVIRONMENT & SUSTAINABILITY

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Carlos Felipe Gaitan Ospina

Carlos Felipe Gaitan Ospina - Chief Climate Scientist & Head of AI - ClimateAI

Climate Zones Classification for Agriculture Applications using Machine Learning

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Mostafa Mousavi

Mostafa Mousavi - Postdoc Research Fellow - Stanford University

Using Deep Learning for Earthquake Signal Detection

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Pushpendra Rana

Pushpendra Rana - Postdoctoral Researcher - University of Illinois

Machine Learning for Environmental Sustainability

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Prabhat

Prabhat - Group Lead, Data & Analytics - Lawrence Berkeley National Lab

Deep Learning for Climate Science

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LUNCH

PLENARY SESSION: ETHICS, RESPONSIBILITY & BIAS

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Avoiding Human Bias in AI Systems

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Can we Create a Checklist of Ethical Design Challenges for Business & AI?

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How Can we Develop AI Systems that Earn Trust of Their Users?

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Monitoring & Recognizing the Vulnerability of Data

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PANEL: AI for Good: Who is Responsible & What is the Common Goal?

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END OF SUMMIT

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Day 1

An Introduction to DRL - Presentation & Q&A

Introductory Session for All

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Day 1

Creating a Purpose-Built AIOps Platform for IT - Moogsoft

Enterprise-Focused

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Day 1

How to Find the Best ML Framework for Your Business - Presentation & Open-Floor Q&A

Presentation & Demo

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Day 1

Preparing Your Dataset for ML - Technical Lab

Gain Practical Tools

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Day 1

Rising Stars: The Next Generation of AI Pioneers - The Future of AI

Showcase & Discussion

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Day 1

Reinventing your Company with AI & Becoming a Cognitive Enterprise - IBM

DECISION-MAKER SESSION

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Day 1

The Value of AI & ML in Digital Transformation - Presentation & Roundtable discussion

DECISION-MAKER SESSION

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Day 2

Breakthrough Challenges in Industry: Cross-Industry Learnings from Financial & Healthcare Sectors - Case Study & Roundtable Discussion

Cross-Industry Learnings

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Day 2

Investing in AI Startups: AI with Impact - Panel Discussion

Open Floor Q&A

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Day 2

Ethics Workshop: Scenario-Based - Case Studies & Brainstorming

Exploring Case Studies

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Day 2

The Challenges of Accessible AI - Roundtable Discussion

Brainstorming & Cross-Industry Sharing

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Day 2

Question Wall Discussions - Roundtable Discussions

Lunchtime Discussions

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Day 2

Building A Framework for RL - Technical Lab

How-to-Guide

*Please note the agenda is subject to change

discounted ticket price will end in 10 days
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