A problem w telling people "just trust the medical experts" is that they still need enough time & scientific literacy to discern whether to trust "experts" promoting mass infection of kids, droplet transmission, & claims LongCovid is psychogenic, OR experts who say opposite 1/
(to be clear, do NOT trust the 1st group)

There seem to be ZERO professional consequences for repeatedly being wrong for last 22 months. Some folks in 1st group have prestigious credentials & platforms in major media outlets. General public may not know their track records 2/
So general public needs to invest a fair amount of time (which many do not have) just to know who to trust, what is true, & how to stay safe. At the same time, will be condescended to & criticized for disagreeing w/ "experts" 3/
For much of this, it was clear at the time that so-called experts were drawing bad conclusions & giving harmful advice. This isn't just in hindsight.

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More from @math_rachel

1 Dec
There has been more focus on whether the public trusts institutions (governments, medicine, public health orgs) than on how those institutions could better earn our trust. 1/

Western leaders have expressed confidence even when they were completely wrong, and have been unwilling to express uncertainty, even when it would have been more honest 2/

We've seen politicians upgrade parliament to have excellent air ventilation, as school children & essential workers are forced into poorly ventilated buildings with insufficient mitigations #COVIDisAirborne 3/

Read 14 tweets
30 Nov
On *reviewability* of automated decision making (ADM), rather than *explainability*

Reviewability does not necessarily involve explanations. It is about exposing the decision-making process, including human processes, structures, & systems around a model

papers.ssrn.com/sol3/papers.cf… Reviewability of ADM does not therefore necessarily involve
Explanations focused on how a model has arrived at an output may miss much of what is important. A more holistic view could include information on testing & auditing procedures, training data, effects of decisions on protected characteristics, & more. 2/ @jennifercobbe As such, explanations focused on how the model itself has ar
Judicial review of public sector decision-making does not simply assess the decision itself, but the decision-making process as a whole

An understanding of human decision-making as a process that begins before the decision and that has consequences that resonate afterwards 3/ act in line with long-established principles of good adminis
Read 4 tweets
29 Nov
My newest post: Doing Data Science for Social Good, Responsibly 1/

fast.ai/2021/11/23/dat…
Data use by non-profits can be powerful, such as this CA vaccine equity analysis by @ACLU_NorCal @snowjake & @DataInstituteSF @MaxShinnerl (I mentored) 2/

Read 10 tweets
28 Nov
Flaws of countering disinfo w/ appeal to authority:

"Worrying about whether we trust institutions without asking if these institutions deserve trust... A program of infantalization – trust that the adults know what is right – will provoke equally infantile resistance." @Aelkus We have gotten very far from the original goal of trying to
Failure of legacy institutions to respond appropriately to the pandemic, from March 2020 @aelkus, h/t @RSButner

aelkus.github.io/problem/2020/0…
A society that cares more about declining trust in institutions than what institutions have done to deserve trust – and which devotes far more effort towards managing the behavioral psychology of risk than actually reducing risk – is engaged in narrative-making above all else. Managing public health and disease was one of the core tasks
Read 4 tweets
26 Nov
Compared to ethics principles in medicine, AI ethics principles lack:
1. common aims & fiduciary duties
2. professional history & norms
3. proven methods to translate principles into practice
4. robust legal & professional accountability mechanisms

nature.com/articles/s4225…
"The truly difficult part of ethics—actually translating theories, concepts & values into good practices AI practitioners can adopt—is kicked down the road like the proverbial can." @b_mittelstadt 2/
"Ethics has a cost. AI is often developed behind closed doors without public representation... It cannot be assumed that value-conscious frameworks will be meaningfully implemented in commercial processes that value efficiency, speed and profit." 3/
Read 4 tweets
25 Nov
🧵on Google, Tech Regulation, & Risk of Industry Capture in 🇦🇺

"Google’s investment in Australia’s tech future — a boon for universities or a Faustian bargain?" by @jordanguiao 1/

abc.net.au/religion/googl…
Australia's competition regulator found:
- Google engages in anti-competitive behavior in digital advertising, which harms consumers & businesses
accc.gov.au/media-release/…

- monopoly on search has "stifled innovation and reduced consumer choice"
ia.acs.org.au/article/2021/a… 2/
Australian federal court found that Google misled Australian mobile and tablet users on how it collects location data 3/

abc.net.au/news/2021-04-1…
Read 7 tweets

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