Recent searches

No recent searches

Search options

Only available when logged in.
fosstodon.org is one of the many independent Mastodon servers you can use to participate in the fediverse.
Fosstodon is an invite only Mastodon instance that is open to those who are interested in technology; particularly free & open source software. If you wish to join, contact us for an invite.

Administered by:

Server stats:

8.8K
active users

fosstodon.org: AboutStatusProfiles directoryPrivacy policy

Mastodon: AboutGet the appKeyboard shortcutsView source codev4.4.2

#donoharm

0 posts0 participants0 posts today
Feisty

After the UK and Taiwan and some Canadian provinces have made Covid vaccination much more difficult to get, here’s where I think they’re headed: “If you are 100 years old or have an extremely serious immune-compromising condition and we haven’t managed to kill you with Covid yet, congratulations! You have run the gauntlet and are now eligible for a once-a-decade Covid vaccination! You’re welcome!” /1 #CovidIsNotOver #eugenics #DoNoHarm

*
Broadwaybabyto

It’s bad enough we have healthcare workers refusing to mask, now one openly admits to practicing medicine while he has measles!

Does the HHS Secretary condemn this behaviour? No. He praises the doctor as an “extraordinary healer”.

Measles is airborne & wildly contagious. This doctor should lose his license. He almost certainly infected multiple patients.

apnews.com/article/texas-measl

#measles#texas#vaccines
*
michael

#WombTransplant: the mother of my children demands to know why the lives of two women were put at risk with three major operations, when exactly the same result could have been achieved with a surrogate pregnancy (using that uterus in its natural place). theguardian.com/society/2025/a I would also argue that the baby didn't benefit from being carried by a mum on #immunosuppressants, so 3 humans were harmed in this #experiment. #science #medicine #ExperimentsOnHumans #MedicalEthics #DoNoHarm

The Guardian · Woman becomes first UK womb transplant recipient to give birthBy Andrew Gregory
Broadwaybabyto

“Take off your mask so I can see your pretty face”

“You won’t catch covid HERE! You can take off your mask”

“You seem anxious about Covid”

“Why are you masking? Are you sick?”

Lack of mask mandates in healthcare means patients are judged, mistreated & harmed when trying to access care.

Hospital acquired COVID has a 10% mortality rate. Patients are going in for necessary care and losing their lives or ending up disabled.

Healthcare workers are burned out, sick and exhausted.

The current situation is not sustainable.

We know how to reduce (if not eliminate) COVID and other hospital acquired infections.

So why aren’t we doing it?

My latest articles looks at masking in healthcare from the patient perspective. The challenges, the struggles, the avoidable infections and the trauma that comes from having healthcare workers abdicate their responsibility to “do no harm”

disabledginger.com/p/we-need-m

The Disabled Ginger · We Need Mandatory Masking in Healthcare, and We Need it NowBy The Disabled Ginger
#donoharm#covidisairborne#covidisnotover
Broadwaybabyto

There are measles outbreaks in the U.S. and Canada. A disease we eradicated is making a comeback due to dangerous anti-vaxx rhetoric.

We need mandatory masking in healthcare, and we need it now.

A respirator protects against Covid, measles & more.

There’s no excuse to expose patients when we have the tools to prevent it:

disabledginger.com/p/a-plea-to

The Disabled Ginger · A Plea to Maskless Healthcare Workers from Vulnerable PatientsBy Broadwaybabyto
#masksinhealthcare#measles#longcovid
Michael Nagenborg (he/him)

And here's another paper from our work in the #NWO funded project #DoNoHarm: mdpi.com/2220-9964/13/12/419 - It's hard to believe that the project is going to end soon. #RemoteSensing #AI #EthicsOfTechnology

MDPIAuditing Flood Vulnerability Geo-Intelligence Workflow for BiasesGeodata, geographical information science (GISc), and GeoAI (geo-intelligence workflows) play an increasingly important role in predictive disaster risk reduction and management (DRRM), aiding decision-makers in determining where and when to allocate resources. There have been discussions on the ethical pitfalls of these predictive systems in the context of DRRM because of the documented cases of biases in AI systems in other socio-technical systems. However, none of the discussions expound on how to audit geo-intelligence workflows for biases from data collection, processing, and model development. This paper considers a case study that uses AI to characterize housing stock vulnerability to flooding in Karonga district, Malawi. We use Friedman and Nissenbaum’s definition and categorization of biases that emphasize biases as a negative and undesirable outcome. We limit the scope of the audit to biases that affect the visibility of different housing typologies in the workflow. The results show how AI introduces and amplifies these biases against houses of certain materials. Hence, a group within the population in the area living in these houses would potentially miss out on DRRM interventions. Based on this example, we urge the community of researchers and practitioners to normalize the auditing of geo-intelligence workflows to prevent information disasters from biases.
TrendingLive feeds
About