A start-up claims it can identify whether a face belongs to a high-IQ person, a good poker player, a terrorist, or a pedophile. Faception uses machine-learning to generate classifiers that signal whether a face belongs in one category or not. Basically facial appearance is used to predict personality traits, type, or behaviors. The company claims to already have sold technology to a homeland security agency to help identify terrorists. It does not surprise me at all: governments are willing to buy remarkably bad snake-oil. But even if the technology did work, it would be ethically problematic.
Science and medicine have done a lot for the world. Diseases have been eradicated, rockets have been sent to the moon, and convincing, causal explanations have been given for a whole range of formerly inscrutable phenomena. Notwithstanding recent concerns about sloppy research, small sample sizes, and challenges in replicating major findings—concerns I share and which I have written about at length — I still believe that the scientific method is the best available tool for getting at empirical truth. Or to put it a slightly different way (if I may paraphrase Winston Churchill’s famous remark about democracy): it is perhaps the worst tool, except for all the rest.
Scientists are people too
In other words, science is flawed. And scientists are people too. While it is true that most scientists — at least the ones I know and work with — are hell-bent on getting things right, they are not therefore immune from human foibles. If they want to keep their jobs, at least, they must contend with a perverse “publish or perish” incentive structure that tends to reward flashy findings and high-volume “productivity” over painstaking, reliable research. On top of that, they have reputations to defend, egos to protect, and grants to pursue. They get tired. They get overwhelmed. They don’t always check their references, or even read what they cite. They have cognitive and emotional limitations, not to mention biases, like everyone else.
At the same time, as the psychologist Gary Marcus has recently put it, “it is facile to dismiss science itself. The most careful scientists, and the best science journalists, realize that all science is provisional. There will always be things that we haven’t figured out yet, and even some that we get wrong.” But science is not just about conclusions, he argues, which are occasionally (or even frequently) incorrect. Instead, “It’s about a methodology for investigation, which includes, at its core, a relentless drive towards questioning that which came before.” You can both “love science,” he concludes, “and question it.”
I agree with Marcus. In fact, I agree with him so much that I would like to go a step further: if you love science, you had better question it, and question it well, so it can live up to its potential.
And it is with that in mind that I bring up the subject of bullshit.
Google is said to have dropped the famous “Don’t be evil” slogan. Actually, it is the holding company Alphabet that merely wants employees to “do the right thing”. Regardless of what one thinks about the actual behaviour and ethics of Google, it seems that it got one thing right early on: a recognition that it was moving in a morally charged space.
Google is in many ways an algorithm company: it was founded on PageRank, a clever algorithm for finding relevant web pages, scaled up thanks to MapReduce algorithms, use algorithms for choosing adverts, driving cars and selecting nuances of blue. These algorithms have large real world effects, and the way they function and are used matters morally.
Can we make and use algorithms more ethically?
1. The fact that you disagree with the author’s conclusion is not a reason for advising against publication. Quite the contrary, in fact. You have been selected as a peer reviewer because of your eminence, which means (let’s face it), your conservatism. Accordingly if you think the conclusion is wrong, it is far more likely to generate interest and debate than if you agree with it.
2. A very long review will simply indicate to the editors that you’ve got too much time on your hands. And if you have, that probably indicates that you’re not publishing enough yourself. Accordingly excessive length indicates that you’re not appropriately qualified. Continue reading
What to do with Google—nothing, break it up, nationalise it, turn it into a public utility, treat it as a public space, or something else?
Google has become a service that one cannot go without if one wants to be a well-adapted participant in society. For many, Google is the single most important source of information. Yet people do not have any understanding of the way Google individually curates contents for its users. Its algorithms are secret. For the past year, and as a result of the European Court of Justice’s ruling on the right to be forgotten, Google has been deciding which URLs to delist from its search results on the basis of personal information being “inaccurate, inadequate or no longer relevant.” The search engine has reported that it has received over 250,000 individual requests concerning 1 million URLs in the past year, and that it has delisted around 40% of the URLs that it has reviewed. As was made apparent in a recent open letter from 80 academics urging Google for more transparency, the criteria being used to make these decisions are also secret. We have no idea about what sort of information typically gets delisted, and in what countries. The academics signing the letter point out how Google has been charged with the task of balancing privacy and access to information, thereby shaping public discourse, without facing any kind of public scrutiny. Google rules over us but we have no knowledge of what the rules are.
This essay, by Oxford graduate student Callum Hackett, is one of the six shortlisted essays in the graduate category of the inaugural Oxford Uehiro Prize in Practical Ethics.
‘Giving Ourselves Away: online communication alters the self and society’
Invention is a fertile source of new ethical problems because creating new tools creates questions about how they might be used for better or worse. However, while every invention has its unique uses, the questions we must ask of them are often the same. For example, the harnessing of water and steam in the Industrial Revolution raised the same concern as robotics in contemporary manufacturing for how mechanization affects the economic empowerment of the working class. Naturally, there are fewer underlying ethical problems than there are inventions that cluster around them, but here I wish to explore the possibility that the mass adoption of the internet has brought with it a new problem with which we are just starting to engage. Specifically, while the internet poses a series of difficult questions, I will consider the implications of certain characteristics of online communication for the self, society and politics. Continue reading
Last Thursday’s Special Ethics Seminar at St Cross College was booked out very quickly, and the audience’s high expectations were fully justified. Rebecca Roache returned from Royal Holloway to Oxford to give a fascinating lecture on the nature and ethics of swearing. Roache has two initial questions: ‘Is there anything wrong with this fucking question?’, and ‘Is this one any f***ing better?’. (Her answers turn out to be, essentially, ‘No’ to both.) Continue reading
Facebook has changed its privacy settings this January. For Europeans, the changes have come into effect on January 30, 2015.
Apart from collecting data from your contacts, the information you provide, and from everything you see and do in Facebook, the new data policy enables the Facebook app to use your GPS, Bluetooth, and WiFi signals to track your location at all times. Facebook may also collect information about payments you make (including billing, shipping, and contact details). Finally, the social media giant collects data from third-party partners, other Facebook companies (like Instagram and Whatsapp), and from websites and apps that use their services (websites that offer “Like” buttons and use Facebook Log In).
The result? Facebook will now know where you live, work, and travel, what and where you shop, whom you are with, and roughly what your purchasing power is. It will have more information than anyone in your life about your habits, likes and dislikes, political inclinations, concerns, and, depending on the kind of use you make of the Internet, it might come to know about such sensitive issues as medical conditions and sexual preferences.
A closer look, however, might reveal the matter in a different light. Continue reading