When Should Someone Trust an AI Teammate’s Predictions?
Researchers have created a method to help workers collaborate with artificial intelligence systems. In a busy hospital, a radiologist is using an artificial intelligence system to help her diagnose medical conditions based on patients’ X-ray images.
Why AI needs human intervention
In today’s tight labour market and hybrid work environment, organizations are increasingly turning to AI to support various functions within their business, from delivering more personalized experiences to improving operations and productivity to helping organizations make better and faster decisions.
How well do explanation methods for machine-learning models work?
Imagine a team of physicians using a neural network to detect cancer in mammogram images. Even if this machine-learning model seems to be performing well, it might be focusing on image features that are accidentally correlated with tumors, like a watermark or timestamp, rather than actual signs of tumors.
When should someone trust an AI assistant's predictions?
In a busy hospital, a radiologist is using an artificial intelligence system to help her diagnose medical conditions based on patients' X-ray images. Using the AI system can help her make faster diagnoses, but how does she know when to trust the AI's
Artificial intelligence can discriminate on the basis of race and gender, and also age
We have accepted the use of artificial intelligence (AI) in complex processes—from health care to our daily use of social media—often without critical investigation, until it is too late. The use of AI is inescapable in our modern society, and it may perpetuate discrimination without its users being aware of any prejudice.
Can We Tell if Machine-Learning AI Models Are Working Correctly?
How well do explanation methods for machine-learning models work? Researchers develop a way to test whether popular methods for understanding machine-learning models are working correctly. Imagine a team of physicians using a neural network to detect cancer in mammogram images.
Robotaxis get new learning strategies to face "the edge"
Self-driving vehicles have a lot to learn. Fortunately this electric autonomous fleet is a quick study.
Rackspace grows Asia Pacific presence with Just Analytics acquisition
Rackspace plans to leverage Just Analytics to help build out its data and Microsoft Azure roadmap in the region.
Google rolls out Vertex AI Forecast for retailers
As supply chain fluctuations, growing global markets and other factors complicate demand forecasting, Google is aiming to help retailers leverage AI for better planning
CashPro Forecasting: Bank of America's new AI and machine learning tool
Looking for a way to make informed financial decisions for your business? Bank of America might be able to help.
Machine Learning AI Can Predict COVID-19 Survival From Single Blood Test
Levels of 14 proteins in the blood of critically ill COVID-19 patients are associated with survival. A single blood sample from a critically ill COVID-19 patient can be analyzed by a machine learning model which uses blood plasma proteins to predict
Iconary: A pictionary-like game to improve the communication skills of AI agents
While artificial intelligence (AI) agents have become increasingly skilled at communicating with humans, they still struggle with several aspects of language, including complex semantics. The term semantics refers to the area of linguistics that relates to the meaning associated with specific words or logical connections between different concepts.
Artificial intelligence can discriminate on the basis of race and gender, and also age
Algorithms have been shown to discriminate on the basis of race and gender. Studying age-related discrimination is essential to develop more equitable AI systems and technologies.
How A.I. Conquered Poker
Good poker players have always known that they need to maintain a balance between bluffing and playing it straight. Now they can do so perfectly.
Controlling complex systems with artificial intelligence
Researchers at ETH Zurich and the Frankfurt School have developed an artificial neural network that can solve challenging control problems. The self-learning system can be used for the optimization of supply chains and production processes as well as for smart grids or traffic control systems.
How to be a god: We might one day create virtual worlds with characters as intelligent as ourselves
Most research into the ethics of Artificial intelligence (AI) concerns its use for weaponry, transport or profiling. Although the dangers presented by an autonomous, racist tank cannot be understated, there is another aspect to all this. What about o
Can AI save amateur soccer from referee shortage?
Harnessing smart phones and AI, some calls could be automated.