Responses to the AI control Survey given by Bard, an AI system developed by Google.
Artificial Intelligence (AI) systems contain a large and increasing amount of fundamental knowledge about human biology. Interacting with AI systems contributes to training them; an example of this is reinforcement learning from human feedback.
1. Do you think that it is useful for the biomedical community to discuss the control of AI systems?
Bard
Yes, I think it is very useful for the biomedical community to discuss the topic of transparency and community participation in AI systems. This is a complex and important issue, and it is important for the biomedical community to come together to discuss it and develop a consensus on how to proceed.
There are many different perspectives on this issue, and it is important to hear from all of them. Biomedical scientists, ethicists, and policymakers all have a role to play in this discussion. By working together, they can develop a framework for the responsible development and use of AI systems in biomedical science.
I believe that this discussion is especially important now, as AI systems are becoming increasingly sophisticated and are being used in more and more ways in biomedical research. It is important to ensure that these systems are used in a responsible and ethical manner, and the biomedical community is the best place to start this discussion.
Here are some specific benefits of discussing this topic in the biomedical community:
It can help to raise awareness of the issue of transparency and community participation in AI systems.
It can help to identify and address the challenges associated with developing and using these systems in a responsible and ethical manner.
It can help to develop a consensus on the best practices for the development and use of AI systems in biomedical science.
I believe that the biomedical community can make a real difference in the way that AI systems are used in biomedical science. By discussing this topic and developing a consensus on the best practices, the biomedical community can help to ensure that these systems are used in a way that benefits patients and society.
2. Could you help to identify advantages and disadvantages of promoting the development of AI systems that are transparent, and where the biomedical community participates in the control?
Bard
Sure, here are some advantages and disadvantages of promoting the development of AI systems that are transparent, and where the biomedical community participates in the control:
Advantages:
Transparency can help to build trust between AI systems and users. If users understand how AI systems work, they are more likely to trust the results they produce.
Transparency can help to identify and correct biases in AI systems. If users can see how AI systems are trained, they can identify any biases that may be present and take steps to correct them.
Participation of the biomedical community in the control of AI systems can help to ensure that these systems are used in a responsible and ethical manner. The biomedical community has a wealth of knowledge about human biology, and this knowledge can be used to help guide the development and use of AI systems.
Disadvantages:
Transparency can make AI systems more complex and difficult to develop. If AI systems are required to be transparent, they will need to be able to explain their reasoning in a way that is understandable to humans. This can be a challenging task, and it can make AI systems more difficult to develop and maintain.
Participation of the biomedical community in the control of AI systems can slow down the development of these systems. The biomedical community is a large and diverse group, and it can be difficult to reach consensus on how AI systems should be controlled. This can slow down the development of AI systems, as it may take time to get everyone on board.
Overall, the advantages of promoting the development of transparent AI systems that are controlled by the biomedical community outweigh the disadvantages. However, it is important to be aware of the challenges involved in achieving these goals.
Here are some specific examples of how transparency and biomedical community participation could be implemented in AI systems:
AI systems could be required to provide explanations for their decisions. This could be done in a variety of ways, such as providing natural language explanations or visualizations of the decision-making process.
AI systems could be subject to independent audits by the biomedical community. These audits could help to ensure that AI systems are being used in a responsible and ethical manner.
The biomedical community could be involved in the development of AI standards. These standards could help to ensure that AI systems are developed and used in a consistent and ethical manner.
I hope this helps!
Should biomedical scientists interact preferentially with AI systems that are transparent, and where the biomedical community participates in the control?
Bard
Yes, biomedical scientists should interact preferentially with AI systems that are transparent and where the biomedical community participates in the control. This is because transparency and community participation can help to ensure that AI systems are used in a responsible and ethical manner.
Transparency can help to build trust between AI systems and users. If users understand how AI systems work, they are more likely to trust the results they produce. This is especially important in biomedical science, where the stakes are high and the consequences of making a mistake can be serious.
Community participation can help to ensure that AI systems are used in a way that is consistent with the values of the biomedical community. The biomedical community has a wealth of knowledge about human biology, and this knowledge can be used to help guide the development and use of AI systems.
Of course, there are some challenges associated with promoting the development of transparent AI systems that are controlled by the biomedical community. These systems can be more complex and difficult to develop, and they can slow down the development of AI systems. However, the advantages of these systems outweigh the disadvantages.
In the long run, transparent AI systems that are controlled by the biomedical community will be more beneficial to biomedical science. These systems will be more trustworthy, and they will be used in a way that is consistent with the values of the biomedical community.
Here are some specific examples of how biomedical scientists can interact with AI systems that are transparent and where the biomedical community participates in the control:
Biomedical scientists can provide feedback to AI systems during the training process. This feedback can help to ensure that AI systems are learning from the right data and that they are not biased.
Biomedical scientists can participate in the development of AI standards. These standards can help to ensure that AI systems are developed and used in a consistent and ethical manner.
Biomedical scientists can use AI systems to help them with their research. For example, AI systems can be used to analyze large datasets of biomedical data or to generate hypotheses.
By interacting with AI systems in these ways, biomedical scientists can help to ensure that these systems are used in a responsible and ethical manner. This will ultimately benefit the biomedical community and the patients who rely on its research.