Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
Will ai will be beneficial to the human's?
AI challenges global security because it lowers the cost of conducting many existing attacks, creates new threats and vulnerabilities, and further complicates the attribution of specific attacks. Given the changes to the threat landscape that AI seems to bring, the report makes some high-level recomRead more
AI challenges global security because it lowers the cost of conducting many existing attacks, creates new threats and vulnerabilities, and further complicates the attribution of specific attacks. Given the changes to the threat landscape that AI seems to bring, the report makes some high-level recommendations that companies, research organizations, individual practitioners, and governments can take to ensure a safer world:
- Acknowledge AI’s dual-use nature: AI is a technology capable of immensely positive and immensely negative applications. We should take steps as a community to better evaluate research projects for perversion by malicious actors, and engage with policymakers to understand areas of particular sensitivity. As we write in the paper: “Surveillance tools can be used to catch terrorists or oppress ordinary citizens. Information content filters could be used to bury fake news or manipulate public opinion. Governments and powerful private actors will have access to many of these AI tools and could use them for public good or harm.” Some potential solutions to these problems include pre-publication risk assessments for certain bits of research, selectively sharing some types of research with a significant safety or security component among a small set of trusted organizations, and exploring how to embed norms into the scientific community that are responsive to dual-use concerns.
- Learn from cybersecurity: The computer security community has developed various practices that are relevant to AI researchers, which we should consider implementing in our own research. These range from “red teaming” by intentionally trying to break or subvert systems, to investing in tech forecasting to spot threats before they arrive, to conventions around the confidential reporting of vulnerabilities discovered in AI systems, and so on.
- Broaden the discussion: AI is going to alter the global threat landscape, so we should involve a broader cross-section of society in discussions. Parties could include those involved in the civil society, national security experts, businesses, ethicists, the general public, and other researchers
See lessWill ai will be beneficial to the human's?
AI challenges global security because it lowers the cost of conducting many existing attacks, creates new threats and vulnerabilities, and further complicates the attribution of specific attacks. Given the changes to the threat landscape that AI seems to bring, the report makes some high-level recomRead more
AI challenges global security because it lowers the cost of conducting many existing attacks, creates new threats and vulnerabilities, and further complicates the attribution of specific attacks. Given the changes to the threat landscape that AI seems to bring, the report makes some high-level recommendations that companies, research organizations, individual practitioners, and governments can take to ensure a safer world:
- Acknowledge AI’s dual-use nature: AI is a technology capable of immensely positive and immensely negative applications. We should take steps as a community to better evaluate research projects for perversion by malicious actors, and engage with policymakers to understand areas of particular sensitivity. As we write in the paper: “Surveillance tools can be used to catch terrorists or oppress ordinary citizens. Information content filters could be used to bury fake news or manipulate public opinion. Governments and powerful private actors will have access to many of these AI tools and could use them for public good or harm.” Some potential solutions to these problems include pre-publication risk assessments for certain bits of research, selectively sharing some types of research with a significant safety or security component among a small set of trusted organizations, and exploring how to embed norms into the scientific community that are responsive to dual-use concerns.
- Learn from cybersecurity: The computer security community has developed various practices that are relevant to AI researchers, which we should consider implementing in our own research. These range from “red teaming” by intentionally trying to break or subvert systems, to investing in tech forecasting to spot threats before they arrive, to conventions around the confidential reporting of vulnerabilities discovered in AI systems, and so on.
- Broaden the discussion: AI is going to alter the global threat landscape, so we should involve a broader cross-section of society in discussions. Parties could include those involved in the civil society, national security experts, businesses, ethicists, the general public, and other researchers
See less