Biased Algorithms Are Everywhere, and No One Seems to Care

MIT TECHNOLOGY REVIEW

Biased Algorithms Are Everywhere,
and No One Seems to Care


This week a group of researchers, together with the American Civil Liberties Union, launched an effort to identify and highlight algorithmic bias. The AI Now initiative was announced at an event held at MIT to discuss what many experts see as a growing challenge.

Algorithmic bias is shaping up to be a major societal issue at a critical moment in the evolution of machine learning and AI. If the bias lurking inside the algorithms that make ever-more-important decisions goes unrecognized and unchecked, it could have serious negative consequences, especially for poorer communities and minorities. The eventual outcry might also stymie the progress of an incredibly useful technology (see “Inspecting Algorithms for Bias”).

Algorithms that may conceal hidden biases are already routinely used to make vital financial and legal decisions. Proprietary algorithms are used to decide, for instance, who gets a job interview, who gets granted parole, and who gets a loan.

The founders of the new AI Now Initiative, Kate Crawford, a researcher at Microsoft, and Meredith Whittaker, a researcher at Google, say bias may exist in all sorts of services and products.



Forget Killer Robots—Bias Is the Real AI Danger

MIT TECHNOLOGY REVIEW

Forget Killer Robots—
Bias Is the Real AI Danger


Google’s AI chief isn’t fretting about super-intelligent killer robots. Instead, John Giannandrea is concerned about the danger that may be lurking inside the machine-learning algorithms used to make millions of decisions every minute.

“The real safety question, if you want to call it that, is that if we give these systems biased data, they will be biased,” Giannandrea said before a recent Google conference on the relationship between humans and AI systems.

The problem of bias in machine learning is likely to become more significant as the technology spreads to critical areas like medicine and law, and as more people without a deep technical understanding are tasked with deploying it. Some experts warn that algorithmic bias is already pervasive in many industries, and that almost no one is making an effort to identify or correct it (see “Biased Algorithms Are Everywhere, and No One Seems to Care”).

“It’s important that we be transparent about the training data that we are using, and are looking for hidden biases in it, otherwise we are building biased systems,” Giannandrea added. “If someone is trying to sell you a black box system for medical decision support, and you don’t know how it works or what data was used to train it, then I wouldn’t trust it.”


Sahip olduğumuz çeşitli önyargılar (üstelik belli belirsiz de olabilir) aldığımız kararları etkiliyor. Buna BIAS deniliyor ve insanın şaşırtıcı oranda Cognitive Bias'ları olduğunu biliyoruz. Aynı durum karar mekanizmasına gözü kapalı güvenmeye çalıştığımız yapay zekalar için de geçerli. Öldürücü süper zeki yapay zeka robotlarından önce, bizim için karar verirken BIAS'lardan etkilenen yapay zekalar daha güçlü bir tehdit oluşturabilir.


Artificial intelligence can help warfighters on many fronts

MILITRAY EMBEDDED SYSTEMS

Artificial intelligence can help
warfighters on many fronts


AI makes it possible for machines to learn from experiences, adapt to new data, and perform human-like tasks. Deep learningand natural-language processing techniques are helping to train computers to accomplish specific tasks by processing large amounts of data and recognizing patterns within it. The technology is increasingly seen as helpful to the warfighter.


Putin, "Gelecekte Yapay Zeka'nın hakimi kimse, dünyanın da hakimi de o olacak" diye açıklama yapmıştı hatırlarsanız. Birçoğumuz biliyor ki savaş endüstrisi yüzyıllardır teknolojinin itici güçlerinden biri. Bu gerçeği değiştirmek imkansız ama otonom silahlarla ilgili çalışmalar ve etik kaygılar tekrar gündemde. Hatta geçenlerde Google çalışanları yapılan askeri destekle ilgili geri adım atmayı tercih edip duyuru yapmışlardı. Fakat yine de AI ve machine learning savaş teknolojileri için taktik anlamında çok hızlı ilerlemeye devam ediyor. Birçok anlamda maliyetleri düşürüp, askeri taktik verme konusunda big data'nın önemi de gündemi meşgul eden araştırmalardan.


AI is acquiring a sense of smell that can detect illnesses in human breath

TECHXPLORE

AI is acquiring a sense of smell that
can detect illnesses in human breath


Artificial intelligence (AI) is best known for its ability to see (as in driverless cars) and listen (as in Alexa and other home assistants). From now on, it may also smell. My colleagues and I are developing an AI system that can smell human breath and learn how to identify a range of illness-revealing substances that we might breathe out.



CAN WE BUILD AI WITHOUT LOSING THE CONTROL OVER IT?

TED

CAN WE BUILD AI WITHOUT LOSING THE CONTROL OVER IT?


Scared of superintelligent AI? You should be, says neuroscientist and philosopher Sam Harris -- and not just in some theoretical way. We're going to build superhuman machines, says Harris, but we haven't yet grappled with the problems associated with creating something that may treat us the way we treat ants.


Süper-zeki yapay zekalardan korkmalı mıyız? Sam Harris, sinirbilim ve felsefe temelleri üzerinden bu alandaki soruları yanıtlamaya çalışıyor. Fakat yine o da, tüm araştırmacılar gibi insanın yönelimlerini ve bu zekayı kullanma biçimlerini değerlendiriyor.


The incredible inventions of intuitive AI | Maurice Conti

YOUTUBE

The incredible inventions of intuitive AI | Maurice Conti


What do you get when you give a design tool a digital nervous system? Computers that improve our ability to think and imagine, and robotic systems that come up with (and build) radical new designs for bridges, cars, drones and much more -- all by themselves. Take a tour of the Augmented Age with futurist Maurice Conti and preview a time when robots and humans will work side-by-side to accomplish things neither could do alone.



GOOGLE'S NEW AI HEAD IS SO SMART HE DOESN'T NEED AI

WIRED

GOOGLE’S NEW AI HEAD IS SO SMART
HE DOESN’T NEED AI

 


The new AI boss at Google is Jeff Dean. The lean 50-year-old computer scientist joined the company in 1999, when it was a startup less than one year old. He earned a reputation as one of the industry’s most talented coders by helping Google become a computational powerhouse with new approaches to databases and large-scale data analysis. Google colleagues once created a joke website of “Jeff Dean facts,” including his purported role in accelerating the speed of light. Another had it that Dean doesn’t really exist—he’s an advanced AI created by Jeff Dean.



Robert Downey Jr. is making a YouTube Red series about artificial intelligence

THE VERGE

Robert Downey Jr. is making a YouTube Red
series about artificial intelligence


Actor Robert Downey Jr. and his wife, producer Susan Downey, are making an artificial intelligence documentary series on YouTube, the company announced today. The series will have eight episodes that are each an hour long and it’s set to air on the paid membership-based YouTube Red platform next year.

The series is still untitled, but we do know that Robert Downey Jr. will host and narrate the series, which will feature scientists, philosophers, and other experts in AI. YouTube says the series will explore how AI transforms the way we work and live in the present and future. The series will be executive produced by the Downeys through their production company Team Downey.



Pretty sure Google's new talking AI just beat the Turing test

ENGADGET

Pretty sure Google’s new talking
AI just beat the Turing test


So that whole Turing test metric, wherein we gauge how human-like an AI system appears to be based on its ability to mimic our vocal affectations? At the 2018 I/O developers conference Tuesday, Google utterly dismantled it. The company did so by having its AI-driven Assistant book a reservation. On the phone. With a live, unsuspecting human on the other end of the line. And it worked flawlessly.



AI is the new space race. Here’s what the biggest countries are doing

QZ

AI is the new space race.
Here’s what the biggest countries are doing


The United States and China currently dominate the world of artificial intelligence, but used very different approaches to get there. While the US’s academic system has generated and incubated the research that made today’s AI possible, China’s government has pledged billions in funding and offered the technology its full-throated support.

China is investing at least $7 billion through 2030, including $2 billion for a research park in Beijing. The Chinese government foresees a $150 billion AI industry by that time, and has the most comprehensive national plan to become a leader in the technology. Chinese startups also received 48% of all funding for AI investments, according to CB Insights.