Some links I thought worth reading the past few days
World Bank data on the status of the global sustainable development goals, by the WB data team (whom I know due to my work for the WB’s open data efforts):
The 2018 Atlas of Sustainable Development Goals: an all-new visual guide to data and development It’s not a problem, it’s a challenge, to stick to enlightenment ideals in developing AI. Privacy and using big data aren’t opposites. Let’s not confuse purposes and outcomes, and explore hidden assumptions. EU style AI efforts are merely hard in a different way than the surveillance capitalism variety in the US and the data driven authoritarianism variety in China :
AI Has a Big Privacy Problem And Europe’s New Data Protection Law Is About to Expose It Quick overview of how EU is positioning in the AI space. Ethics a key component, and various funding initiatives underway:
Key points from the EU Artificial Intelligence strategy My Swiss colleague André Golliez talks sense in this radio interview on the meaning of GDPR also to Switzerland (in Swiss-German):
GDPR a Paradigm Shift for Data Protection An oldie, 2016, from Doc Searls, but still relevant. Your browser is your castle:
The Castle Doctrine Data and the machine learning it enables is of geopolitical importance:
The Chinese 2018-2020 Action Plan for AI Doc Searls, who
expects GDPR to kill microtargeting as a business model, celebrates May 25th as ‘Privmas’ and writes about the : Frequently Unasked Questions (FUQ) for the GDPR Another old article (from 2013), but still a relevant thought, how to connect things up while staying personally in control:
The Internet of My Things
AI, bigdata, blockchain, browsers, china, data protection, development, EU, Europe, gdpr, iot, sdg, stm18, switzerland, wb, worldbank |
Some links I think worth reading today.
ICANN struggles with the GDPR for the WHOIS database, and has now run out of time:
EFF: GDPR forces ICANN to improve WHOIS and EFF: Privacy as afterthought at ICANN
Facebook removes 1.5 billion users from EU jurisdiction while maintaining they’re totally committed to applying the ‘spirit’ of the GDPR globally. Which seems unconvincing in reality, because as before it merely emphasizes the illusion of choice for users.
Bloomberg nicely explains
China’s investments in Europe. US / Australia already have limitations in place. MEP Marietje Schaake calls for similar steps in EU.
Fintech in Africa, and financial inclusion for the unbanked. Noting that China is actively investing in this space in Africa. By Niti Bhan, follow her blog at the Emerging Futures Lab.
A Skinner box for software to
find out what algorithms do (e.g. to target adverts), and the need for transparency and accountability for algorithms that are used. Algorithms need to be ‘smaller’ than me, not commodotise me at the back-end I think.
on the global geopolitical race to lead on AI, “AI lowers the cost of knowledge by orders of magnitude. One good, effective machine learning system can do the work of a million people, whether it’s for commercial purposes or for cyberespionage. Imagine a country that produces a thousand times more knowledge than another.”
Autonomous taxi start-up says
safety testing of autonomous vehicles should be open sourced to increase speed and reliability, as now all stakeholders are re-inventing the autonomous wheel so to speak.