Hot Topics: Technology
by Justin C. Smith
Molldrem and Smith’s thoughtful article “Reassessing the Ethics of Molecular HIV Surveillance in the Era of Cluster Detection and Response: Toward HIV Data Justice,” calls attention to vitally important considerations in the implementation of molecular HIV surveillance (MHS) in HIV cluster detection response (CDR) efforts.…Full Article
by Edwin J. Bernard, Alexander McClelland, Barb Cardell, Cecilia Chung Marco Castro-Bojorquez, Martin French, Devin Hursey, Naina Khanna, Mx Brian Minalga, Andrew Spieldenner, and Sean Strub
As advocates and scholars, including people living with HIV, we have been engaged in a critical debate over molecular HIV surveillance (MHS), as well as its antecedent and future practices.…Full Article
by Arnold R. Eiser, MD MACP
Our healthcare system is failing our most senior citizens by assuming they want and need to receive maximal technological intervention despite modest or minimal benefit to them and the increasing of substantial discomfort to them.…Full Article
by Joyeeta G Dastidar, MD
In New York City, the epicenter of the COVID-19 pandemic in the country with a quarter of the nation’s cases, hospitals prepared for ventilator shortages.
by Alex Dubov, Ph.D. and Steven Shoptaw, Ph.D.
As the world grapples with COVID-19, experts are calling for better identification and isolation of new cases.…
This essay received an honourable mention in the undergraduate category. Written by University of Oxford student, Angelo Ryu. Introduction The scope of modern administration is vast. We expect the state to perform an ever-increasing number of tasks, including the provision of services and the regulation of economic activity. This requires the state to make […]Full Article
by Craig Klugman, Ph.D.
One of the most powerful tools that epidemiologists have for containing an outbreak is contact tracing—finding out all of the people with whom an infected person has had contact during the period when they were potentially shedding the virus.…Full Article
This essay was the winning entry in the undergraduate category of the 6th Annual Oxford Uehiro Prize in Practical Ethics. Written by University of Oxford student, Eric Sheng. In the computer game Red Dead Redemption 2 (henceforward, RDR2), players control a character in a virtual world. Among the characters represented by computer graphics but not […]Full Article
by Simon Coghlan, Ph.D. and Kobi Leins, Ph.D.
… Full Article
They’re neither a traditional robot nor a known species of animal.
“Exploring ethical issues in TV medical dramas”
by Craig Klugman, Ph.D.
The Good Doctor (Season 3; Episode 11): Anesthesia and addiction; the limits of compassion; The Resident (Season 3; Episode 12): Dying (or not) on your own terms; Suing patients for medical debt; Chicago Med (Season 5; Episode 11): Quid pro quo—switched embryos, safe injection sites; surrogate withdrawal of life support
Carrie is a patient who arrives with a complicated leg fracture after falling while mountain biking.…Full Article
Identifying Ethical Considerations for Machine Learning Healthcare Applications
Planning for the Known Unknown: Machine Learning for Human Healthcare Systems
Ethically Problematic Medical Device Representation
Upstream Ethical Mapping of Germline Genome Editing
Artificial Intelligence in Service of Human Needs: Pragmatic First Steps Toward an Ethics for Semi-Autonomous Agents
Superethics Instead of Superintelligence: Know Thyself, and Apply Science Accordingly
Sorry I Didn’t Hear You.” The Ethics of Voice Computing and AI in High Risk Mental Health Populations
Deep Fakes and Memory Malleability: False Memories in the Service of Fake News
“AI promises to expertly diagnose disease in medical images and scans. However, a close look…suggests these powerful new tools may perpetuate health inequalities.” How can we train algorithms to work for all patients regardless of origin? Many tools are currently trained in richer countries such as the United States, but are expected to recognize patterns in patients all across the world. This difference leads to certain AI interventions only being effective in countries with greater resources.Full Article
Can AI help doctors differentiate between COVID-19 and the regular flu? What information would the technology need and where should we draw those boundaries? Some models are showing promise by sifting through common health data.Full Article
“In health care, a new force is redrawing barriers: algorithms that blindly soak up and perpetuate historical imbalances in access to medical resources.” Investigations reveal algorithms commonly inject racial bias into decisions for vulnerable areas. How can we better redesign software to reduce the infusion of racism into health care as we move towards a more digital age?Full Article
“Digital health companies are making broad promises about immediacy, universal access, affordability, early detection and intervention, treating the untreated, overcoming the social determinants that have been barriers to good health.” Moving forward, it is essential to argue for adherence to standards that ensure the interests of the patient population and balancing these interests with the personal interests of the company.Full Article
Could speech technology help COVID-19 diagnosis? Experts argue that these speech samples can be used without explicit consent or to obtain personal health information, and potentially discriminate against their customers. Although the speech technology could provide some insight into further knowledge of true infection rates, concerns over privacy and the merit of information provided are a small snapshot of the factors to consider with wider implementation of this software.Full Article
How will AI change the foundation of healthcare? What considerations do we have to include for ethics of such technology and necessary training of medical providers? What does it mean? Tom Simonite writes on AI integration into provider hands. Often, AI response can challenge the intuition and the conclusions made by the doctor in practice. These differences leads to trust as a major barrier to the inclusion of more AI into healthcare.Full Article
“Data encompasses problems that can occur when machine learning is trained on bias…AI applications in healthcare often involve robots working with humans.” AI can be trained on information that may further propagate discrimination on the basis of race and machine learning. Where does the blame fall when these applications do more harm than good? Can AI effectively be trained in a way that does not introduce more disparities in healthcare?Full Article
AI could revolutionize all aspects of healthcare, but what are the implications? Experts have come together to compile standards for clinical trials that include AI. Can these standards will prevent harm and increase quality of research?Full Article
Nearly two years after the birth of the first “CRISPR babies” stunned the world, an international group of experts on Thursday warned such human experimentation — in which the DNA of embryos is edited before starting pregnancies — should not be conducted because of unresolved scientific and ethical issues. But the group’s eagerly awaited report detailed the steps that scientists should go through before attempting to create gene-edited babies should countries ever greenlight the procedure.Full Article
Some government agencies that use the software said they were surprised that Google may pick up the locations of certain app users. Others said they had unsuccessfully pushed Google to make a change.Full Article