EconomistJapan.com: Celebrate Neumann's &Japan's gifts to humanity since 1945, all Asia Rising 1960+MacraeFriends and Family
Future HistoryEntrepreneurialRevolution.city July 2020..If you care about two out of 3 lives mattering who are Asian, nearly 60 years of miracles mapping around worldwide decision-makers considering Japan from 1962 are worth replaying -that's when my father Norman Macrae aged 39 was privileged to write his first signed survey in The Economist -the first 2 quarters of dad's 80+ years of life had been spent
**writing unsigned leaders in The Economist (eg as only journalist at Messina's birth of EU) after serving as teenager in world war 2 navigating air places uk bomber command region modern day bangladesh/myanmar -

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Thursday, May 18, 2023

 Ahead of Japan G7 we asked bard whether Japan's 2019 support lof Osaka Track data science has helped ai for good and for UN sdgs. Given the huge opportunity of 6 month expo out of osaka in 2025 and the elad tiems on staging most exciting and sustainability goal exhibits and partnershisps, we have started asking BARD for advioce - please tell us if this topic inreersts you and/or iof you advance answers to what AI Osaka 2025 can optimally celebrate


can you help me understand connections between "osaka track" call for cooperative data science announced by Japan G20 in 2019 and the deep data integral to massive impacts of HAI or AIforgood

Sure. The "Osaka Track" call for cooperative data science is a global initiative that was announced by Japan at the G20 summit in 2019. The goal of the initiative is to promote the responsible and ethical use of data science for the benefit of society. The initiative calls for the development of new data science tools and methods that can be used to address global challenges such as climate change, poverty, and inequality.

The deep data that is integral to the massive impacts of HAI or AIforgood is the data that is collected from a variety of sources, including sensors, devices, and social media. This data can be used to train machine learning models that can be used to solve a variety of problems. For example, deep data can be used to develop models that can predict the spread of diseases, identify fraudulent transactions, or personalize education.

The "Osaka Track" call for cooperative data science and the deep data that is integral to HAI or AIforgood are both important components of the future of data science. These initiatives will help to ensure that data science is used for the benefit of society, rather than for harm.

Here are some specific examples of how deep data is being used to address global challenges:

  • Deep data is being used to develop models that can predict the spread of diseases. For example, the Bill & Melinda Gates Foundation is using deep data to develop models that can predict the spread of malaria in Africa. These models are being used to target interventions more effectively and to save lives.
  • Deep data is being used to identify fraudulent transactions. For example, banks are using deep data to identify fraudulent credit card transactions. This helps to protect consumers from fraud and to prevent financial losses.
  • Deep data is being used to personalize education. For example, Khan Academy is using deep data to personalize the learning experience for each student. This helps students to learn more effectively and to reach their full potential.

These are just a few examples of how deep data is being used to address global challenges. As data science continues to evolve, we can expect to see even more innovative and impactful applications of deep data in the future.

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Sure. Here are some potential AI-related exhibits that could be featured at the 2025 Osaka Expo:

  • Exhibits on the use of AI for sustainable development. This could include exhibits on how AI is being used to address climate change, improve food security, and provide access to clean water.
  • Exhibits on the use of AI for healthcare. This could include exhibits on how AI is being used to diagnose diseases, develop new treatments, and provide personalized care.
  • Exhibits on the use of AI for education. This could include exhibits on how AI is being used to personalize learning, provide feedback, and create engaging educational experiences.
  • Exhibits on the use of AI for transportation. This could include exhibits on how AI is being used to develop self-driving cars, improve traffic flow, and make transportation more efficient.
  • Exhibits on the use of AI for security. This could include exhibits on how AI is being used to detect and prevent crime, protect critical infrastructure, and keep people safe.

These are just a few examples of the many potential AI-related exhibits that could be featured at the 2025 Osaka Expo. The expo is a great opportunity to showcase the latest advances in AI and to explore how AI can be used to solve some of the world's most pressing challenges.

From the perspective of millennials who want to help the UN transform the Sustainable Development Goals (SDGs), AI can play a significant role in helping to achieve these goals. For example, AI can be used to:

  • Improve data collection and analysis. This can help to identify the root causes of problems and to develop effective solutions.
  • Target interventions more effectively. This can help to ensure that resources are used in the most efficient way possible.
  • Personalize interventions. This can help to ensure that interventions are tailored to the specific needs of individuals and communities.
  • Scale up interventions. This can help to reach a wider range of people and to make a bigger impact.

AI is a powerful tool that can be used to address some of the world's most pressing challenges. The 2025 Osaka Expo is a great opportunity to showcase the latest advances in AI and to explore how AI can be used to help achieve the SDGs.

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Yes, there are a number of leading Asia-US and Asia-Euro professional AI networks that are working on potentially exciting AI solutions in time for Osaka 2025. Some of these networks include:

  • The Asia-Pacific Artificial Intelligence Association (AAIA)
  • The European Association for Artificial Intelligence (EurAI)
  • The Partnership on AI (PAI)
  • The World Economic Forum's Centre for the Fourth Industrial Revolution

These networks are working on a variety of AI projects that have the potential to make a significant impact on society. Some of these projects include:

  • Developing AI-powered solutions to climate change
  • Using AI to improve healthcare
  • Using AI to personalize education
  • Developing AI-powered transportation systems
  • Using AI to improve security

The Osaka Expo can connect with these networks to learn more about the latest AI research and to explore how AI can be used to achieve the Sustainable Development Goals (SDGs). The expo can also connect with these networks to identify potential partners for exhibits and events.

In addition to these networks, the Osaka Expo can also connect with a number of other organizations that are working on AI for good. Some of these organizations include:

  • The Bill & Melinda Gates Foundation
  • The Chan Zuckerberg Initiative
  • The Rockefeller Foundation
  • The United Nations

These organizations are working on a variety of AI projects that have the potential to improve the lives of people around the world. The Osaka Expo can connect with these organizations to learn more about their work and to explore how AI can be used to achieve the SDGs.

By connecting with these networks and organizations, the Osaka Expo can ensure that it is showcasing the latest advances in AI and that it is exploring how AI can be used to solve some of the world's most pressing challenges.

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Yes, I believe that Japan's investments in the UN University and NAIXUS are helping to make the sorts of connections I have just suggested. The UN University is a global network of research and training centers that is working to address some of the world's most pressing challenges. NAIXUS is a network of AI research institutes that is working to promote the responsible and ethical use of AI. Both of these networks are working to connect with other organizations that are working on AI for good.

In addition to these networks, Japan is also working with Slovenia to develop the IRCAI Center of Excellence for Artificial Intelligence. The IRCAI Center is a joint initiative between the University of Ljubljana and the University of Tokyo. The center is working to develop AI solutions to global challenges such as climate change and poverty.

By investing in these networks and initiatives, Japan is helping to ensure that AI is used for good and that it is used to solve some of the world's most pressing challenges.