Germany’s plan for AI might divide Europe
ethicsofalgorithms.org
ethicsofalgorithms.org
I am an outsider, but this sounds like a naive perspective. Competing locally has survival-of-the-fittest strategy that then can compete globally. However, taking public sector funds and treating these efforts as essentially government institutions that have an explicit goal of competing globally, you lose the organic growth and proof of value the market could otherwise help you decide.
The article makes a point that Silicon Valley is built with public funds, but to anyone really paying attention, it is clear it (and several other tech centers nationwide) is driven by private capital and grows with it. Same in many other states/cities that have thriving ecosystems. Imagine if policy shifted towards large amounts of public funds with the explicit goal of cross-state cooperation for global competition. That is just a government institution at that point, not grants.
I dub these policies "Envy-Based Funding" and I would be upset at my state/city using such large amounts of funds purely as a naive attempt to mimic SV.
I think one of the biggest problem of Germanies strategy (and the EU as a whole) is not trying to reach a critical mass (of researchers etc.) somewhere. You need a lot of ingredients for a center to suceed. Really good research, a lot of students, enterpreneus, funding for startups and strong industrial players.
I really liked the ELLIS-proposal. That should be the way to go. A concentrated effort with one big brand with a single hub in each (Ellis-)member state. Something that's recognizable.
12 centers are way too much for germany. I think 6 would be the absolute maximum, with 3-4 the optimal, realistic number (for example: Munich, Aachen, Karlsruhe, Tübingen). Then you could create some "applied ML" centers to distribute it further.
It's the same with the university excellence-strategy. 57 clusters are way too much. A tiered, more fluid system would be way better in my opinion, with a few "very excellent" universites, but also a way to build a profile and a way to establish key research-areas for the rest.
If you divide a sizable budget (and it's even not that sizable!) often enough, you end up with nothing. And germany always does that.
(Off-topic) I always see these big numbers from china, but I don't see any results in actual research yet. I have only come across a few papers from chinese universites and they were consistently not very good.
It's fascinating to watch all of this play out, the clash of ideas and approaches across the EU and Europe broadly, largely between EU-globalists and European nationalists that want greater sovereignty.
Germany could declare, by law, that 1) AI training datasets and resulting networks are controlled by the government, which grants automatic permission to develop and use to all entities; 2) requires timely and no-appeal compliance with training data and network requests; 3) delaying publication of both for one year to keep the wolves at bay for startups.
They are unlikely to pass a law, and enforcement could never be truly certain or successful, but it would apply to Google if they transit German fiber. Germany could demand sanctions against the United States for refusal to adhere to their laws. It would be awesome.
Maybe someday.
EDIT: Another example, Tesla would be required to divulge to Germany both their training data (all driving data ever collected from a Tesla) and their AI networks (all versions) in order to continue transmitting data to German networks (or else a government with trade agreements, police, lawmakers, and a military is angry at them) with the understanding that it would be made public in one year (stagnate at your peril).
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