Fairness in Machine Learning — read this fabulous presentation. Most ML objective functions create models accurate for the majority class at the expense of the protected class. One way to encode “fairness” might be to require similar/equal error rates for protected classes as for the majority population.
A Recent Discussion about DRM (Joi Ito) — strong arguments against including Digital Rights Management in W3C’s web standards (I can’t believe we’re still debating this; it’s such a self-evidently terrible idea to bake disempowerment into web standards).
If the Internet is Addictive, Why Don’t We Regulate It? — an excellent look at behaviourism, gambling machine flow, design-for-addiction, attention, regulation. As Schüll puts it: ‘It just seems very duplicitous to design with the goal of capturing attention, and then to put the whole burden onto the individual.’
Zipnish — using varnish as middleware for your microservices, with Zipnish to create Zipkin-style analysis of your API performance.
Librarian of Congress Grants Limited DRM-Breaking Rights (Cory Doctorow) — The Copyright Office said you will be able to defeat locks on your car’s electronics, provided: You wait a year first (the power to impose waiting times on exemptions at these hearings is not anywhere in the statute, is without precedent, and has no basis in law); You only look at systems that do not interact with your car’s entertainment system (meaning that car makers can simply merge the CAN bus and the entertainment system and get around the rule altogether); Your mechanic does not break into your car — only you are allowed to do so. The whole analysis is worth reading—this is not a happy middle-ground; it’s a mess. And remember: there are plenty of countries without even these exemptions.
Lessons from a Decade of IT Failures (IEEE Spectrum) — full of cautionary tales like, Note: No one has an authoritative set of financials on ECSS. That was made clear in the U.S. Senate investigation report, which expressed frustration and outrage that the Air Force couldn’t tell it what was spent on what, when it was spent, nor even what ECSS had planned to spend over time. Scary stories to tell children at night.
Unicorn: A System for Searching the Social Graph (Facebook) — we describe the data model and query language supported by Unicorn, which is an online, in-memory social graph-aware indexing system designed to search trillions of edges between tens of billions of users and entities on thousands of commodity servers. Unicorn is based on standard concepts in information retrieval, but it includes features to promote results with good social proximity. It also supports queries that require multiple round-trips to leaves in order to retrieve objects that are more than one edge away from source nodes.
Alberto Cairo Interview — So, what really matters to me is not the intention of the visualization – whether you created it to deceive or with the best of intentions; what matters is the result: if the public is informed or the public is misled. In terms of ethics, I am a consequentialist – meaning that what matters to me ethically is the consequences of our actions, not so much the intentions of our actions.
Homebrew Bioweapons Not Imminent Threat — you need a safe facility, lab instruments, base strain, design and execution skills, and testing. None of these are easy until the Amazon-Google cloud wars finally cause them to move into “bioweapons as a service.”
gitrob — a command line tool that can help organizations and security professionals find such sensitive information. The tool will iterate over all public organization and member repositories and match filenames against a range of patterns for files, that typically contain sensitive or dangerous information.
How Much is a Leader’s Integrity Worth? — Kiel found that high-integrity CEOs had a multi-year return of 9.4%, while low-integrity CEOs had a yield of just 1.9%. What’s more, employee engagement was 26% higher in organizations led by high-integrity CEOs. (via Neelan Choksi)
Comments Off on Four short links: 30 September 2015
Competitive Coding (Bloomberg) — ignore the lazy author’s patronising tone; the bit that caught my eye was: He first began freaking people out in second grade, at age 8, when he took second place in a major Belarusian coding competition. To put this achievement in perspective, the score was high enough for Korotkevich to be granted automatic enrollment in a top technical university without needing to pass any other entrance exams. That is how you value STEM education: let people test out of it if they don’t need it!
How We Pass The Buck (Anil Dash) — The thing is, technology is not neutral, algorithms are built with values, and the default choices in our software determine huge swaths of our culture. We delegate ethical decisions as consumers and citizens to people who make software, but almost no computer science program teaches ethics, and almost no major technology company has a chief ethicist.
Comments Off on Four short links: 28 September 2015
Possible Economics Models (Jamais Cascio) — economic futures filtered through Doctorovian prose. Griefer Economics: Information is power, especially when it comes to finance, and the increasing use of ultra-fast computers to manipulate markets (and drive out “weaker” competitors) is moving us into a world where market position isn’t determined by having the best offering, but by having the best tool. Rules are gamed, opponents are beaten before they even know they’re playing, and it all feels very much like living on a PvP online game server where the referees have all gone home. Relevant to Next:Economy.
War in Space May Be Closer Than Ever (SciAm) — Today, the situation is much more complicated. Low- and high-Earth orbits have become hotbeds of scientific and commercial activity, filled with hundreds upon hundreds of satellites from about 60 different nations. Despite their largely peaceful purposes, each and every satellite is at risk, in part because not all members of the growing club of military space powers are willing to play by the same rules — and they don’t have to, because the rules remain as yet unwritten. There’s going to be a bitchin’ S-1 risks section when Planet Labs files for IPO.
Not Even Close: The State of Computer Security (Vimeo) — In this bleak, relentlessly morbid talk, James Mickens will describe why making computers secure is an intrinsically impossible task. He will explain why no programming language makes it easy to write secure code. He will then discuss why cloud computing is a black hole for privacy, and only useful for people who want to fill your machine with ads, viruses, or viruses that masquerade as ads. At this point in the talk, an audience member may suggest that bitcoins can make things better. Mickens will laugh at this audience member and then explain why trusting the bitcoin infrastructure is like asking Dracula to become a vegan. Mickens will conclude by describing why true love is a joke and why we are all destined to die alone and tormented. The first ten attendees will get balloon animals, and/or an unconvincing explanation about why Mickens intended to (but did not) bring balloon animals. Mickens will then flee on horseback while shouting “The Prince of Lies escapes again!”
Algorithms and Bias (NYTimes) — interview w/Cynthia Dwork from Microsoft Research. Fairness means that similar people are treated similarly. A true understanding of who should be considered similar for a particular classification task requires knowledge of sensitive attributes, and removing those attributes from consideration can introduce unfairness and harm utility.
Google Patenting Machine Learning Developments (Reddit) — I am afraid that Google has just started an arms race, which could do significant damage to academic research in machine learning. Now it’s likely that other companies using machine learning will rush to patent every research idea that was developed in part by their employees. We have all been in a prisoner’s dilemma situation, and Google just defected. Now researchers will guard their ideas much more combatively, given that it’s now fair game to patent these ideas, and big money is at stake.
Machine Ethics (Nature) — machine learning ethics versus rule-driven ethics. Logic is the ideal choice for encoding machine ethics, argues Luís Moniz Pereira, a computer scientist at the Nova Laboratory for Computer Science and Informatics in Lisbon. “Logic is how we reason and come up with our ethical choices,” he says. I disagree with his premises.
Internet Trends 2015 (PDF) — Mary Meeker’s preso. Messaging + Notifications = Key Layers of Every Meaningful Mobile App, Messaging Leaders Aiming to Create Cross-Platform Operating Systems That Are Context-Persistent Communications Hubs for More & More Services. This year’s deck feels more superficial, less surprising than in years past.
When the Land Goes Under the Sea — As it turns out: People really despise being told to not replay the game. Almost universally, the reaction to that was a kernel of unhappiness amidst mostly positive reviews. In retrospect, including that note was a mistake for a number of reasons. My favorite part of game postmortems is what the designers learned about how people approach experiences.
Damage Recovery Algorithm for Robots (IEEE) — This illustrates how it’s possible to endow just about any robot with resiliency via this algorithm, as long as it’s got enough degrees of freedom to enable adaptive movement. Because otherwise the Terminators will just stop when we shoot them.
The Counselor — short fiction with ethics, AI, and how good things become questionable.
How to Turn a Liberal Hipster into a Global Capitalist (The Guardian) — In Zoe Svendsen’s play “World Factory at the Young Vic,” the audience becomes the cast. Sixteen teams sit around factory desks playing out a carefully constructed game that requires you to run a clothing factory in China. How to deal with a troublemaker? How to dupe the buyers from ethical retail brands? What to do about the ever-present problem of clients that do not pay? […] And because the theatre captures data on every choice by every team, for every performance, I know we were not alone. The aggregated flowchart reveals that every audience, on every night, veers toward money and away from ethics. I’m a firm believer that games can give you visceral experience, not merely intellectual knowledge, of an activity. Interesting to see it applied so effectively to business.
Oblique Strategies: Prompts for Programmers — Do it both ways. Very often doing it both ways is faster than analyzing which is best. Now you also have experimental data instead of just theoretical. Add a toggle if possible. This will let you choose later. Some mistakes are cheaper to make than to avoid.
The Responsibility We Have as Software Engineers — Where’s our Hippocratic Oath, our “First, Do No Harm?” Remember that moment when Google went from “amazing wonderful thing we didn’t have before, which makes our lives so much better” to “another big scary company and holy shit it knows a lot about us!”? That’s coming for our industry and the software engineering profession in particular.