“Algorithms are all around us, using massive stores of data and complex analytics to make decisions with often significant impacts on humans – from choosing the content people see on social media to judging whether a person is a good credit risk or job candidate. Pew Research Center released several reports in 2018 that explored the role and meaning of algorithms in people’s lives today. Here are some of the key themes that emerged from that research…”
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Category Archives: AI
Left to Their Own Devices, Pricing Algorithms Resort to Collusion
Popular Mechanics: “When you’re browsing online, who sets the prices? An algorithm, most likely. A study from 2015 showed that a third of all items on Amazon had prices set by an algorithm, and chances are that percentage has only risen. A new study shows how easy it would be for price-setting algorithms to learn… Continue Reading
Decoding Algorithms
Macalester Today – “Ada Lovelace probably didn’t foresee the impact of the mathematical formula she published in 1843, now considered the first computer algorithm. Nor could she have anticipated today’s widespread use of algorithms, in applications as different as the 2016 U.S. presidential campaign and Mac’s first-year seminar registration. “Over the last decade algorithms have… Continue Reading
AR Will Spark the Next Big Tech Platform – Call It Mirrorworld
Wired: “The mirrorworld doesn’t yet fully exist, but it is coming. Someday soon, every place and thing in the real world—every street, lamppost, building, and room—will have its full-size digital twin in the mirrorworld. For now, only tiny patches of the mirrorworld are visible through AR headsets. Piece by piece, these virtual fragments are being… Continue Reading
A User-Focused Transdisciplinary Research Agenda for AI-Enabled Health Tech Governance
Berkman-Klein Center: “A new working paper from participants in the AI-Health Working Group out of the Berkman Klein Center for Internet & Society at Harvard University, the Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School, and the AI Ethics Lab sets forth a research agenda for stakeholders to proactively collaborate and design… Continue Reading
Discrimination In The Age Of Algorithms
Via NBER – Discrimination In The Age Of Algorithms. Jon Kleinberg, Jens Ludwig, Sendhil Mullainathan, and Cass R. Sunstein. #25548 [h/t Mary Whisner] “The law forbids discrimination. But the ambiguity of human decision-making often makes it extraordinarily hard for the legal system to know whether anyone has actually discriminated. To understand how algorithms affect discrimination,… Continue Reading
The Rise of the Robot Reporter
The New York Times: “As reporters and editors find themselves the victims of layoffs at digital publishers and traditional newspaper chains alike, journalism generated by machine is on the rise. Roughly a third of the content published by Bloomberg News uses some form of automated technology. The system used by the company, Cyborg, is able… Continue Reading
CRS – Artificial Intelligence and National Security
Vias FAS: “The CIA has around 140 projects involving or related to artificial intelligence, CRS noted (citing a 2017 story in DefenseOne). See Artificial Intelligence and National Security, updated January 30, 2019.” Continue Reading
We analyzed 16,625 papers to figure out where AI is headed next
Our study of 25 years of artificial-intelligence research suggests the era of deep learning is coming to an end – “Almost everything you hear about artificial intelligence today is thanks to deep learning. This category of algorithms works by using statistics to find patterns in data, and it has proved immensely powerful in mimicking human… Continue Reading
Humanics – A Way to robot-proof your career
BBC: To prepare for a future where AI will likely disrupt entire industries, some say we’ll have to rethink how we educate future generations – “Estimates about how much of the workforce could be automated vary from about 9% to 47%. The consultancy McKinsey estimates up to 800 million workers globally could be displaced by… Continue Reading
Helping AI Answer Real Google Search Queries
Natural Questions: a Benchmark for Question Answering Research – “We present the Natural Questions corpus, a question answering dataset. Questions consist of real anonymized, aggregated queries issued to the Google search engine. An annotator is presented with a question along with a Wikipedia page from the top 5 search results, and annotates a long answer… Continue Reading
Google – Talk to Books
“In Talk to Books (Beta), when you type in a question or a statement, the model looks at every sentence in over 100,000 books to find the responses that would most likely come next in a conversation. The response sentence is shown in bold, along with some of the text that appeared next to the… Continue Reading
