All Work Published on Regulation, Policy, Governance
Developing mental health AI tools that improve care across different groups and contexts
In order to realize the potential of mental health AI applications to deliver improved care, a multipronged approach is needed, including representative AI datasets, research practices that reflect and anticipate potential sources of bias, stakeholder engagement, and equitable design practices.
In order to realize the potential of mental health AI applications to deliver improved care, a multipronged approach is needed, including representative AI datasets, research practices that reflect and anticipate potential sources of bias, stakeholder engagement, and equitable design practices.
Response to FDA's Request for Comment on AI-Enabled Medical Devices
Stanford scholars respond to a federal RFC on evaluating AI-enabled medical devices, recommending policy interventions to help mitigate the harms of AI-powered chatbots used as therapists.
Stanford scholars respond to a federal RFC on evaluating AI-enabled medical devices, recommending policy interventions to help mitigate the harms of AI-powered chatbots used as therapists.
Stop Telling AI Your Secrets - 5 Reasons Why, And What To Do If You Already Overshared
"The ultimate problem is that you just can't control where the information goes, and it could leak out in ways that you just don't anticipate," says HAI Privacy and Data Policy Fellow Jennifer King.
"The ultimate problem is that you just can't control where the information goes, and it could leak out in ways that you just don't anticipate," says HAI Privacy and Data Policy Fellow Jennifer King.
Ethical Obligations to Inform Patients About Use of AI Tools
Permeation of artificial intelligence (AI) tools into health care tests traditional understandings of what patients should be told about their care. Despite the general importance of informed consent, decision support tools (eg, automatic electrocardiogram readers, rule-based risk classifiers, and UpToDate summaries) are not usually discussed with patients even though they affect treatment decisions. Should AI tools be treated similarly? The legal doctrine of informed consent requires disclosing information that is material to a reasonable patient’s decision to accept a health care service, and evidence suggests that many patients would think differently about care if they knew it was guided by AI. In recent surveys, 60% of US adults said they would be uncomfortable with their physician relying on AI,1 70% to 80% had low expectations AI would improve important aspects of their care,2 only one-third trusted health care systems to use AI responsibly,3 and 63% said it was very true that they would want to be notified about use of AI in their care.
Permeation of artificial intelligence (AI) tools into health care tests traditional understandings of what patients should be told about their care. Despite the general importance of informed consent, decision support tools (eg, automatic electrocardiogram readers, rule-based risk classifiers, and UpToDate summaries) are not usually discussed with patients even though they affect treatment decisions. Should AI tools be treated similarly? The legal doctrine of informed consent requires disclosing information that is material to a reasonable patient’s decision to accept a health care service, and evidence suggests that many patients would think differently about care if they knew it was guided by AI. In recent surveys, 60% of US adults said they would be uncomfortable with their physician relying on AI,1 70% to 80% had low expectations AI would improve important aspects of their care,2 only one-third trusted health care systems to use AI responsibly,3 and 63% said it was very true that they would want to be notified about use of AI in their care.
Russ Altman’s Testimony Before the U.S. Senate Committee on Health, Education, Labor, and Pensions
In this testimony presented to the U.S. Senate Committee on Health, Education, Labor, and Pensions hearing titled “AI’s Potential to Support Patients, Workers, Children, and Families,” Russ Altman highlights opportunities for congressional support to make AI applications for patient care and drug discovery stronger, safer, and human-centered.
In this testimony presented to the U.S. Senate Committee on Health, Education, Labor, and Pensions hearing titled “AI’s Potential to Support Patients, Workers, Children, and Families,” Russ Altman highlights opportunities for congressional support to make AI applications for patient care and drug discovery stronger, safer, and human-centered.
AI Sovereignty’s Definitional Dilemma
Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.
Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.
