Interesting, yet basically boils down to actively exercising your ‘free will’. It assumes a blank slate for the hacking, where I haven’t deliberately set out for information/contacts on certain topics. And then it suggests doing precisely that as remedy. The key quote for me here is “Humans are hacked through pre-existing fears, hatreds, biases and cravings. Hackers cannot create fear or hatred out of nothing. But when they discover what people already fear and hate it is easy to push the relevant emotional buttons and provoke even greater fury. If people cannot get to know themselves by their own efforts, perhaps the same technology the hackers use can be turned around and serve to protect us. Just as your computer has an antivirus program that screens for malware, maybe we need an antivirus for the brain. Your AI sidekick will learn by experience that you have a particular weakness – whether for funny cat videos or for infuriating Trump stories – and would block them on your behalf.“: Yuval Noah Harari on the myth of freedom
This is an important issue, always. I recognise it from my work for the World Bank and UN agencies. Is what you’re doing actually helping, or is it shoring up authorities that don’t match with your values? And are you able to recognise it and withdraw when you cross the line from the former to the latter? I’ve known entrepreneurs who kept a client blacklist of sectors, governments and companies, but often it isn’t that clear cut. I’ve avoided engagements in various countries over the years, but every client engagement can be rationalised: How McKinsey Has Helped Raise the Stature of Authoritarian Governments, and when the consequences come back to bite, Malaysia files charges against Goldman-Sachs
Some things I thought worth reading in the past days
A good read on how currently machine learning (ML) merely obfuscates human bias, by moving it to the training data and coding, to arrive at peace of mind from pretend objectivity. Because of claiming that it’s ‘the algorithm deciding’ you make ML a kind of digital alchemy. Introduced some fun terms to me, like fauxtomation, and Potemkin AI: Plausible Disavowal – Why pretend that machines can be creative?
These new Google patents show how problematic the current smart home efforts are, including the precursor that are the Alexa and Echo microphones in your house. They are stripping you of agency, not providing it. These particular ones also nudge you to treat your children much the way surveillance capitalism treats you: as a suspect to be watched, relationships denuded of the subtle human capability to trust. Agency only comes from being in full control of your tools. Adding someone else’s tools (here not just Google but your health insurer, your landlord etc) to your home doesn’t make it smart but a self-censorship promoting escape room. A fractal of the panopticon. We need to start designing more technology that is based on distributed use, not on a centralised controller: Google’s New Patents Aim to Make Your Home a Data Mine
An excellent article by the NYT about Facebook’s slide to the dark side. When the student dorm room excuse “we didn’t realise, we messed up, but we’ll fix it for the future” defence fails, and you weaponise your own data driven machine against its critics. Thus proving your critics right. Weaponising your own platform isn’t surprising but very sobering and telling. Will it be a tipping point in how the public views FB? Delay, Deny and Deflect: How Facebook’s Leaders Fought Through Crisis
Some of these takeaways from the article just mentioned we should keep top of mind when interacting with or talking about Facebook: FB knew very early on about being used to influence the US 2016 election and chose not to act. FB feared backlash from specific user groups and opted to unevenly enforce their terms or service/community guidelines. Cambridge Analytica is not an isolated abuse, but a concrete example of the wider issue. FB weaponised their own platform to oppose criticism: How Facebook Wrestled With Scandal: 6 Key Takeaways From The Times’s Investigation
[update] Apparently all the commotion is causing Zuckerberg to think FB is ‘at war‘, with everyone it seems, which is problematic for a company that has as a mission to open up and connect the world, and which is based on a perception of trust. Also a bunker mentality probably doesn’t bode well for FB’s corporate culture and hence future: Facebook At War.
Some links I thought worth reading the past few days
Peter Rukavina pointed me to this excellent posting on voting, in the context of violence as a state monopoly and how that vote contributes to violence. It’s this type of long form blogging that I often find so valuable as it shows you the detailed reasoning of the author. Where on FB or Twitter would you find such argumentation, and how would it ever surface in a algorithmic timeline? Added Edward Hasbrouck to my feedreader : The Practical Nomad blog: To vote, or not to vote?
This quote is very interesting. Earlier in the conversation Stephen Downes mentions “networks are grown, not constructed”. (true for communities too). Tanya Dorey adds how from a perspective of indigenous or other marginalised groups ‘facts’ my be different, and that arriving a truth therefore is a process: “For me, “truth growing” needs to involve systems, opportunities, communities, networks, etc. that cause critical engagement with ideas, beliefs and ways of thinking that are foreign, perhaps even contrary to our own. And not just on the content level, but embedded within the fabric of the system et al itself.“: A conversation during EL30.mooc.ca on truth, data, networks and graphs.
This article has a ‘but’ title, but actually is a ‘yes, and’. Saying ethics isn’t enough because we also need “A society-wide debate on values and on how we want to live in the digital age” is saying the same thing. The real money quote though is “political parties should be able to review technology through the lens of their specific world-views and formulate political positions accordingly. A party that has no position on how their values relate to digital technology or the environment cannot be expected to develop any useful agenda for the challenges we are facing in the 21st century.” : Gartner calls Digital Ethics a strategic trend for 2019 – but ethics are not enough
One of the essential elements of the EU GDPR is that it applies to anyone having data about EU citizens. As such it can set a de facto standard globally. As with environmental standards market players will tend to use one standard, not multiple for their products, and so the most stringent one is top of the list. It’s an element in how data is of geopolitical importance these days. This link is an example how GDPR is being adopted in South-Africa : Four essential pillars of GDPR compliance
Via Jeremy Keith, I came across this fun short SF story on blockchain and car based AIs breaking up marriages across the Nordic for profit by matchmaking their rides. One woman takes it out on the DAO and the car that broke her marriage or ‘wedblock’. After reading bought the existing 4 novels by the Finnish author Hannu Rajaniemi for summer reading.
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
Bayou is an AI that will make software for you based on a basic description. It was trained with all the code available on GitHub, and is released as an open source tool. Today a paper on this will be presented at the Sixth International Conference on Learning Representations in Vancouver.
I an open letter (PDF) a range of institutions call upon their respective European governments to create ELLIS, the European Lab for Learning and Intelligent Systems. It’s an effort to fortify against brain drain, and instead attract top talent to Europe. It points to the currently weak position in AI of Europe between what is happening in the USA and in China, adding a geo-political dimension. The letter calls not so much for an institution with a large headcount, but for commitment to long term funding to attract and keep the right people. These are similar reasons that led to the founding of CERN, now a global center for physics (and a key driver of things like open access to research and open research data), and more recently the European Molecular Biology Laboratory.
At the core the signatories see France and Germany as most likely to act to start this intra-governmental initiative. It seems this nicely builds upon the announcement by French president Macron late March to invest heavily in AI, and keep / attract the right people for it. He too definitely sees the European dimension to this, even puts European and enlightenment values at the core of it, although he acted within his primary scope of agency, France itself.
Pedro Domingos 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.”
Data, especially lots of it, is the feedstock of machine learning and algorithms. And there’s a race on for who will lead in these fields. This gives it a geopolitical dimension, and makes data a key strategic resource of nations. In between the vast data lakes in corporate silos in the US and the national data spaces geared towards data driven authoritarianism like in China, what is the European answer, what is the proposition Europe can make the world? Ethics based AI. “Enlightenment Inside”.
French President Macron announced spending 1.5 billion in the coming years on AI last month. Wired published an interview with Macron. Below is an extended quote of I think key statements.
AI will raise a lot of issues in ethics, in politics, it will question our democracy and our collective preferences……It could totally dismantle our national cohesion and the way we live together. This leads me to the conclusion that this huge technological revolution is in fact a political revolution…..Europe has not exactly the same collective preferences as US or China. If we want to defend our way to deal with privacy, our collective preference for individual freedom versus technological progress, integrity of human beings and human DNA, if you want to manage your own choice of society, your choice of civilization, you have to be able to be an acting part of this AI revolution . That’s the condition of having a say in designing and defining the rules of AI. That is one of the main reasons why I want to be part of this revolution and even to be one of its leaders. I want to frame the discussion at a global scale….The key driver should not only be technological progress, but human progress. This is a huge issue. I do believe that Europe is a place where we are able to assert collective preferences and articulate them with universal values.