@jimfl
I had the insight that the biases and quality of #trainingdata made #DataGovernance critical, but it’s really about the “crystallization of social relations”
The terrible human toll in Gaza has many causes.
A chilling investigation by +972 highlights efficiency:
An engineer: “When a 3-year-old girl is killed in a home in Gaza, it’s because someone in the army decided it wasn’t a big deal for her to be killed.”
An AI outputs "100 targets a day". Like a factory with murder delivery:
"According to the investigation, another reason for the large number of targets, and the extensive harm to civilian life in Gaza, is the widespread use of a system called “Habsora” (“The Gospel”), which is largely built on artificial intelligence and can “generate” targets almost automatically at a rate that far exceeds what was previously possible. This AI system, as described by a former intelligence officer, essentially facilitates a “mass assassination factory.”"
"The third is “power targets,” which includes high-rises and residential towers in the heart of cities, and public buildings such as universities, banks, and government offices."
It was easier to locate the individuals in their private houses.
“We were not interested in killing operatives only when they were in a military building or engaged in a military activity. On the contrary, the IDF bombed them in homes without hesitation, as a first option. It’s much easier to bomb a family’s home. The system is built to look for them in these situations.”
I participated yesterday in an expert workshop on Public-Private Partnerships in Global Data Governance, organized by the United Nations University Centre for Policy Research (UNU-CPR) and the International Chamber of Commerce (ICC).
I was also invited to prepare a policy brief that presented how the Public Data Commons model, which we have been advocating for, could be applied at global level for dealing with emergencies, and the broader poly-crisis.
It is exciting to see UNU explore data sharing policies within the context of the policy debate on the UN Global Digital Compact.
Worth noting is also the recent report of the High-Level Advisory Board on Effective Multilateralism, "A Breakthrough for People and Planet". One of the transofrmative shifts, "the just digital transition", includes a recommendation for a global data impact hub.
In my brief, I show how this impact hub could be designed as a Public Data Commons. I also highly recommend other briefs presented at the event, by Alex Novikau, Isabel Rocha de Siqueira, Michael Stampfer and Stefaan Verhulst.
In a month (7-8 December) I will be speaking at a conference on data governance and AI, organized in Washington, DC by the Digital Trade and Data Governance Hub. I am excited about this for two reasons:
first of all, we need to connect the policy debates on data governance and AI governance. The space of AI development offers new opportunities to develop, at scale, commons-based approaches that have been much theorized and advocated for, but not yet implemented.
and secondly, I am a deep believer in dialogue between the US and the EU. US is leading in terms of AI development itself, while EU will most probably be the first country to innovate in terms of AI regulation.
Please consider joining, either in-person or remotely (it's a hybrid event).
@ai6yr@mjausson
I remember reading posts from 6 months ago about how regulated ecosystems were not implementing AI due to the hallucinatory nature of large language models with real-world adverse outcomes.
Something I'm curious about rn is how departments that work WITH eng but aren't classified in engineering are being barred from tools like Copilot. We saw this lag with data science and I bet there are swaths of people whose careers will be impacted by this now. Much of the time when I talk to software engineers at large companies they are shocked to learn scientists often have to fight company policy to use the same tools that we might often need. Not something "devex" seems to care about lol
@grimalkina this is #DataGovernance and an unappreciated aspect of enterprise product culture, particularly undocumented and institutional non-processes for permissions
If you are into #datacooperatives like we are then there is still time to join us this afternoon (23rd August) at 15.00BST, 10.00EST, 19.30IST For the Data Cooperative Working Group. It is an international group of practitioners and academics all with an interest in data cooperation https://bit.ly/ODM-DCWG11#cooperatives#datagovernance#empowerment
Don’t forget to sign up for my monthly #DataRevolution Update newsletter. The next one will have interesting links, and #data related stuff I’ve been thinking about.
We host a bi-monthly meeting for those interested in the development of data cooperatives as a means data empowerment. Next meeting is this Wednesday 15.00 BST and looks at the legal environment for the setting up of agricultural data cooperatives. Join us https://bit.ly/ODM-DCWG11#datacooperative#datagovernance#cooperatives
Suppose you have a dim view of the 11th through 19th Amendments as unethical, wicked, corruptions of virtuous government.
Do you believe it’s ethical to include training data with arguments that support those aspects of America legal precedent, so when users try to learn, they are nudged to continue supporting governance principles which under-pin the Republic?
Actors #naming in EU laws:
"The end user and recipient of the service are both natural and legal persons using a certain service. However, the #DSA recipient of the service can be a person acting in a personal or commercial/professional capacity whereas the #DMA end user can only be a person acting in a personal capacity."
In 2020, the EU-level judiciary decreed #SchremsII whereby customers of US cloud service providers must themselves verify the data protection laws of the recipient country, document its risk assessment and confer with its customers.
In 2021, various French-state-level authorities stated that #MSOffice365 did not conform (to doctrine and #GDPR) or that secondary education schools should avoid it. 👇
Storing data in "the Cloud" legally constitutes data processing.
#MicrosoftOutlook: "Synchronisation with the Microsoft server" transfers your data to Microsoft.
The German Federal Commissioner for Data Protection and Freedom of Information, Ulrich Kelber, described the data collection as "alarming" and announced his intention to pursue at European level: https://social.bund.de/@bfdi/111381793883035665