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The key to stopping procrastination? Compassion.

Christian Science Monitor | Science

One of the most amazing things about the human mind is its ability to imagine events that haven't happened yet. To make a decision about something new – trying a new dish, picking a show to watch, and choosing a career – you have to mentally construct the experience and then predict how pleasant or unpleasant it will be. But this simulation, say psychologists, is often distorted. Our predictions tend to exaggerate how happy or sad we'll feel, and for how long. "No doubt good things make us happy and bad things make us sad," says Tim Wilson, a social psychologist at the University of Virginia. "But as a rule, not as long as we think they will." In the final episode of the Monitor's six-part series "It's About Time," hosts Rebecca Asoulin and Eoin O'Carroll explore how thinking about our future selves can help us make better decisions in the present. "We are always making trade-offs about things happening now versus later," says Dorsa Amir, an evolutionary anthropologist at Boston College. One of the most common ways that our present selves trip up our future selves is by procrastinating. But there are many ways for us to overcome the tendency to put things off, says Fuschia Sirois, a psychologist at the University of Sheffield in England. So the next time you notice yourself about to procrastinate, remind yourself that it's OK to struggle. This is the final episode of a six-part series that's part of the Monitor's "Rethinking the News" podcast. To listen to the other episodes on our site or on your favorite podcast player, please visit the "It's About Time" series page. This audio story was designed to be heard. We strongly encourage you to experience it with your ears, but we understand that is not an option for everybody. You can find the audio player above.


The new lawsuit that shows facial recognition is officially a civil rights issue

MIT Technology Review

Williams's wrongful arrest, which was first reported by the New York Times in August 2020, was based on a bad match from the Detroit Police Department's facial recognition system. Two more instances of false arrests have since been made public. Both are also Black men, and both have taken legal action to try rectifying the situation. Now Williams is following in their path and going further--not only by suing the Detroit Police for his wrongful arrest, but by trying to get the technology banned. On Tuesday, the ACLU and the University of Michigan Law School's Civil Rights Litigation Initiative filed a lawsuit on behalf of Williams, alleging that his arrest violated Williams's Fourth Amendment rights and was in defiance of Michigan's civil rights law.


How Does Disruptive Tech like AI Impact the Judiciary and Law?

#artificialintelligence

Technologies like AI, blockchain, cognitive computing, and advanced data analytics will be a boon for the judicial system in many ways. Countries are even thinking about robot judges.


Hitting the Books: The bias behind AI assistants' failure to understand accents

Engadget

The age of being able to speak to our computers just as we do with other humans is finally upon us but voice-activated assistants like Siri, Alexa, and Google Home haven't proven quite as revolutionary -- or inclusive -- as we'd hoped they'd be. While these systems make a commendable effort to accurately interpret commands regardless of whether you picked up your accent in Houston or Hamburg, for users with heavier or less common accents such as Caribbean or Cockney, requests to their digital assistants are roundly ignored. In her essay "Siri Disciplines" for Your Computer Is on Fire from the MIT Press, Towson University professor Dr. Halcyon M. Lawrence, examens some of the more glaring shortcomings of this nascent technology, how those preventable failures have effectively excluded a sizeable number of potential users and the western biases underpinning the issue. Used with permission of the publisher, MIT Press. Voice technologies are routinely described as revolutionary.


How Startup Verta Helps Enterprises Get Machine Learning Right

#artificialintelligence

Bottom Line: Verta helps enterprises track the thousands of machine learning models they're creating using an integrated platform that also accelerates deploying models into production, ensuring that models' results are based on the most current data available. The same is true for all data-intensive businesses today. Despite ramping up their data science teams and investing in the latest machine learning tools, many struggle to keep models organized and move them out of development and into production. Verta is a startup dedicated to solving the complex problems of managing machine learning model versions and providing a platform where they can be launched into production. Founded by Dr. Manasi Vartak, Ph.D., a graduate of MIT, who led a team of graduate and undergraduate students at MIT CSAIL to build ModelDB, Verta is based on their work to define the first open-source system for managing machine learning models.


Council Post: Why We Need A Blue-Collar AI Workforce

#artificialintelligence

VP Data & AI at ECS, roles have included co-founder at a data analytics startup, VP AI at Booz Allen, and Global Analytics Lead at Accenture. The 2020 LinkedIn U.S. Emerging Jobs Report identified the top 15 jobs over the previous five years and emphasized that "artificial intelligence and data science roles continue to proliferate across nearly every industry." Artificial intelligence specialist (No. 1) showed 74% annual growth, and data scientist (No. 3) and data engineer (No. 8) followed with 37% and 33% annual growth. But the problem is: we don't have enough skilled talent to fill these jobs, and it's a national imperative that we change the way we imagine, educate, recruit and upskill our technical workforce. We must abandon the flawed idea that AI jobs are only for people with master's degrees or PhDs with decades of experience.


Is IP Law Ready for AI?

#artificialintelligence

Speaking to established patent attorney Nick Transier, we explore why there has been a boom in AI and the special considerations behind AI patents.


#331: Multi-Robot Learning, with Amanda Prorok

Robohub

Amanda Prorok is an Assistant Professor (University Lecturer) in the Department of Computer Science and Technology, at Cambridge University, and a Fellow of Pembroke College. She serves as Associate Editor for IEEE Robotics and Automation Letters (R-AL) and Associate Editor for Autonomous Robots (AURO). Prior to joining Cambridge, Prorok was a postdoctoral researcher at the General Robotics, Automation, Sensing and Perception (GRASP) Laboratory at the University of Pennsylvania, USA, where she worked with Prof. Vijay Kumar. She completed her PhD at EPFL, Switzerland, with Prof. Alcherio Martinoli.


Will Artificial Intelligence Replace Teachers in the Future?

#artificialintelligence

However, as more homework is graded by machine, more students will make use of professional online academic writing services in order to get help with their papers and essays written by someone from scratch. An expert team of legitimate essay writers from Write My Paper Hub services will write papers for students, and more college students will feel free to use and pay them online to get ahead. After all, if no human actually reads assignments, does it matter who wrote them or what they say? This is one ethical issue that AI can't solve on its own.


How Deepfakes could help implant false memories in our minds

#artificialintelligence

The human brain is a complex, miraculous thing. As best we can tell, it's the epitome of biological evolution. But it doesn't come with any security software preinstalled. And that makes it ridiculously easy to hack. We like to imagine the human brain as a giant neural network that speaks its own language.