Algorithms
MIT Develops Model That Predicts Cognitive Decline Of Patients With Alzheimer’s
Researchers hope the system can zero in on the right patients to enroll in clinical trials, to speed discovery of drug treatments. A new model developed at MIT can help predict if patients at risk for Alzheimer’s disease will experience clinically significant cognitive decline due to the disease, by predicting their cognition test scores up …
AI Is Here To Stay. Now We Need To Ensure Everyone Benefits
Artificial intelligence (AI) is already in use in many sectors. Its contribution is expected to rise steadily, driven by advances in data storage, computer processing power and connectivity. Following a report on AI by the Australian Council of Learned Academies (ACOLA), the Royal Society of New Zealand Te Apārangi launched a report that focuses on the opportunities …
Science Has Outgrown The Human Mind And Its Limited Capacities
The duty of man who investigates the writings of scientists, if learning the truth is his goal, is to make himself an enemy of all that he reads and … attack it from every side. He should also suspect himself as he performs his critical examination of it, so that he may avoid falling into …
Algorithms Are Opinions, Not Truth Machines, And Demand The Application Of Ethics
It can be easy to simply accept algorithms as indisputable mathematic truths. After all, who wants to spend their spare time deconstructing complex equations? But make no mistake: algorithms are limited tools for understanding the world, frequently as flawed and biased as the humans who create and interpret them. In this brief animation, which was adapted …
Detecting Deepfakes By Looking Closely Reveals A Way To Protect Against Them
Deepfake videos are hard for untrained eyes to detect because they can be quite realistic. Whether used as personal weapons of revenge, to manipulate financial markets or to destabilize international relations, videos depicting people doing and saying things they never did or said are a fundamental threat to the longstanding idea that “seeing is believing.” …
PyCon 2019 | Hello World of Machine Learning Using Scikit Learn
PyCon 2019 | Hello World of Machine Learning Using Scikit Learn Speaker: Deepak K Gupta _**Welcome to the Machine Learning tutorial for absolute beginners.**_ This tutorial will not make you an expert in Machine Learning but will cover enough things to acquaint, enable and empower you to understand, explore and exploits the concept and …
PyCon 2019 | Measures and Mismeasures of Algorithmic Fairness
PyCon 2019 | Measures and Mismeasures of Algorithmic Fairness Speaker: Manojit Nandi Within the last few years, researchers have come to understand that machine learning systems may display discriminatory behavior with regards to certain protected characteristics, such as gender or race. To combat these harmful behaviors, we have created multiple definitions of fairness to …
How To Prevent Discriminatory Outcomes In Machine Learning
As machine learning (ML) systems continue to improve, its integration to systems making up the society becomes more seamless. Right now, ML is involved in making critical decisions such as court decisions and job hirings. Without a doubt, using ML in these processes will lead to more efficiency. With a good design, ML systems can …
The Rise Of Dataism: A Threat To Freedom Or A Scientific Revolution?
What would happen if we made all of our data public—everything from wearables monitoring our biometrics, all the way to smartphones monitoring our location, our social media activity, and even our internet search history? Would such insights into our lives simply provide companies and politicians with greater power to invade our privacy and manipulate us …
Does My Algorithm Have A Mental-Health Problem?
Is my car hallucinating? Is the algorithm that runs the police surveillance system in my city paranoid? Marvin the android in Douglas Adams’s Hitchhikers Guide to the Galaxy had a pain in all the diodes down his left-hand side. Is that how my toaster feels? This all sounds ludicrous until we realise that our algorithms …