Date: 2025-01-15 Page is: DBtxt003.php txt00025481
EXPERIMENTING WITH AI ... MAY 2023
CHRIS MACRAE EXPLORING GOOGLE BARD
TVM SEES AI AS A POWERFUL TOOL ... BUT HOW IT IS USED WILL DETERMINE IF IT IS A FORCE FOR GOOD
OR FOR BAD ... THIS ALSO RAISES THE QUESTION ABOUT WHAT IS GOOD AND SHOULD BE THE BENEFICIARIES
CHRIS MACRAE EXPLORING GOOGLE BARD
TVM SEES AI AS A POWERFUL TOOL ... BUT HOW IT IS USED WILL DETERMINE IF IT IS A FORCE FOR GOOD
OR FOR BAD ... THIS ALSO RAISES THE QUESTION ABOUT WHAT IS GOOD AND SHOULD BE THE BENEFICIARIES
Original article:
Peter Burgess COMMENTARY
Peter Burgess
christopher macrae
May 18, 2023, 5:15 PM
Can you help me see which of the 400+ ai projects listed by us federal government at https://docs.google.com/spreadsheets/u/0/d/1FH-fzqwOsifhG-rp-MB7me6W9_XZIbRFkwfQRMObfRs/htmlview#gid=0 will likely need a generative ai design if they are to maximise their human values
Sure, I can help you with that. Here are some of the 400+ AI projects listed by the US federal government that are likely to need a generative AI design if they are to maximize their human values:
- Healthcare: Generative AI could be used to develop new drugs and treatments, personalize care for patients, and improve the efficiency of healthcare delivery.
- Education: Generative AI could be used to create personalized learning experiences, provide feedback to students, and automate tasks such as grading and test scoring.
- Environment: Generative AI could be used to develop new ways to clean up pollution, protect natural resources, and mitigate the effects of climate change.
- Energy: Generative AI could be used to develop new ways to generate and store energy, improve the efficiency of energy use, and reduce our reliance on fossil fuels.
- Transportation: Generative AI could be used to develop new transportation technologies, improve the efficiency of our transportation system, and reduce traffic congestion.
- Public safety: Generative AI could be used to develop new ways to prevent crime, investigate crimes, and protect citizens from harm.
- National security: Generative AI could be used to develop new ways to detect and respond to threats, protect critical infrastructure, and keep our country safe.
It is important to note that generative AI also has the potential to be misused. For example, it could be used to create deepfakes or other forms of disinformation that could harm individuals or societies. It is therefore essential that we develop ethical guidelines for the development and use of generative AI.
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Are you able to confirm whether any of federal projects listed are actually using generative ai. Alternatively as I live in Washington Dc what sort of questions do I need to ask to see if a project group believes the project's ultimate completion will need generative ai?
I am not able to confirm whether any of the federal projects listed are actually using generative AI. However, I can provide you with some questions that you can ask to see if a project group believes the project's ultimate completion will need generative AI. These questions include:
- Does your project involve the creation of new content, such as text, images, or videos?
- Does your project involve the automation of tasks that are currently performed by humans?
- Does your project involve the analysis of large amounts of data?
- Does your project involve the development of new algorithms or models?
- Does your project involve the use of machine learning or deep learning?
Here are some additional questions that you can ask to get a better understanding of how generative AI could be used in a particular project:
- What are the specific goals of your project?
- What are the challenges that you are facing in achieving these goals?
- How do you think generative AI could help you overcome these challenges?
- What are the potential benefits of using generative AI in your project?
- What are the potential risks of using generative AI in your project?
Assuming a team transparently representing the peoples is able to identify diverse enough data matching a context and has found a way to make sure that no community's identity is breached, are there other risks to using generative ai. in basic markets relevant to eg sdgs1 to 5 Please clarify. Looking at how far humans are behind with SDGs I see far more risks in not adopting human ai as urgently as possible but that is also why I need to understand risks.
Yes, there are still other risks to using generative AI, even if a team is transparent and representing the peoples, and has found a way to make sure that no community's identity is breached. Some of these risks include:
- Bias: Generative AI models can be biased, reflecting the biases that are present in the data they are trained on. This could lead to the creation of content that is harmful or offensive to certain groups of people.
- Misinformation: Generative AI models can be used to create fake news and other forms of disinformation. This could have a negative impact on public discourse and could lead to people making decisions based on false information.
- Privacy: Generative AI models can be used to collect and analyze personal data. This data could be used to track people's movements, monitor their online activity, and even predict their future behavior.
- Security: Generative AI models can be hacked and used to create malicious content. This content could be used to spread malware, steal personal information, or even launch cyberattacks.
Here are some additional risks that are relevant to the SDGs:
- SDG 1: No Poverty: Generative AI could be used to create new jobs and opportunities, but it could also lead to job displacement and increased inequality.
- SDG 2: Zero Hunger: Generative AI could be used to improve agricultural yields and food production, but it could also lead to the displacement of farmers and the destruction of natural habitats.
- SDG 3: Good Health and Well-being: Generative AI could be used to develop new treatments and cures for diseases, but it could also be used to create new forms of discrimination and social exclusion.
- SDG 4: Quality Education: Generative AI could be used to personalize learning and improve educational outcomes, but it could also be used to create new forms of educational inequality.
- SDG 5: Gender Equality: Generative AI could be used to empower women and girls, but it could also be used to reinforce gender stereotypes and discrimination.
Let's focus on SDG 2: Zero Hunger:
- Generative AI could be used to improve agricultural yields and food production, but it could also lead to the displacement of farmers and the destruction of natural habitats. If the data was in tune with both nature's diversity which also means finding ways to move people if nature's local climate can not be restored in specific places, why do you say generative ai might lead to destruction of natural habitats?
- Generative AI could lead to the destruction of natural habitats in a few ways. First, generative AI could be used to develop new agricultural technologies that are more efficient and productive. This could lead to an increase in agricultural production, which could put a strain on natural resources and lead to the destruction of natural habitats.
- Second, generative AI could be used to create new products and services that are made from natural resources. This could lead to an increase in demand for these resources, which could put a strain on natural habitats and lead to their destruction.
- Third, generative AI could be used to create new markets for natural resources. This could lead to an increase in the value of these resources, which could make it more profitable to exploit them, even if it means destroying natural habitats.
- It is important to note that generative AI could also be used to help protect natural habitats. For example, generative AI could be used to develop new technologies that help to conserve water and energy, or to create new products and services that are made from sustainable materials.
- Ultimately, whether generative AI leads to the destruction of natural habitats or helps to protect them will depend on how it is used. It is important to be aware of the potential risks and benefits of generative AI so that we can use it in a responsible and sustainable way.
- Generative AI could be used to create new tools and technologies for environmental monitoring and conservation.
- Generative AI could be used to develop new educational resources and programs to raise awareness about environmental issues.
- Generative AI could be used to create new business models and partnerships that support sustainable development.
- By using generative AI in a responsible and sustainable way, we can help to protect our planet and ensure a future for all.
You suggested 3 main risks of generative ai causing destruction to natural habitats. But I dont understand - why wouldn't a holistic natural and generative ai model be able to have been designed to ensure these risks were not made?
A holistic natural and generative AI model could be designed to ensure that these risks are not made. However, it is important to remember that generative AI is a powerful tool that can be used for good or for bad. It is up to us to ensure that it is used for good and that the risks are mitigated.
Here are some ways to mitigate the risks of generative AI:
- Transparency: It is important to be transparent about how generative AI is being used. This means disclosing the data that is being used to train the models, as well as the algorithms that are being used to generate content.
- Accountability: It is important to hold those who develop and use generative AI accountable for their actions. This means having clear guidelines and regulations in place, as well as mechanisms for enforcement.
- Education: It is important to educate the public about the risks and benefits of generative AI. This will help people to make informed decisions about how they use this technology.
Regarding transparency accountability and education, teams at stanford hai are trying to design many guard rails. For example if hundreds of people had the care and expereince of fei-fei li or others with up to17 years experience of generative ai and if they were asked by the UN on behalf of all nations to help design sdg 2 projects, do you think there are really more risks to the generative ai approaches they would design than benefits for sdg 2 and any other dynamics tuned to how nature's design rules compound?
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I think that if hundreds of people with the care and experience of Fei-Fei Li or others with up to 17 years of experience in generative AI were asked by the UN on behalf of all nations to help design SDG 2 projects, then the risks of generative AI could be mitigated and the benefits could be maximized.
Here are some reasons why I think this is the case:
- Experience: These experts have a wealth of experience in developing and using generative AI. They know the potential risks and benefits of this technology, and they know how to mitigate the risks.
- Care: These experts care about using generative AI for good. They want to use this technology to help people and to make the world a better place.
- Collaboration: These experts would be working together with people from all over the world. This would allow them to share ideas and perspectives, and to come up with solutions that are tailored to the needs of different communities.
I am optimistic that generative AI can be used to address the SDGs. However, it is important to remember that this technology is still in its early stages of development. We need to be careful about how we use it, and we need to make sure that we mitigate the risks. With careful planning and execution, I believe that generative AI can be a powerful tool for good.