- Machine Learning Safety: Unsolved Problems - Nov 5, 2021.
There remain critical challenges in machine learning that, if left resolved, could lead to unintended consequences and unsafe use of AI in the future. As an important and active area of research, roadmaps are being developed to help guide continued ML research and use toward meaningful and robust applications.
Machine Learning, Responsible AI, Safety, Security
- NIST $240K Challenge: Saving Lives, One Pixel at a Time - Sep 8, 2020.
Video analytics that could save lives and property are just out of reach. A new prize challenge, Enhancing Computer Vision for Public Safety, is designed to help develop a new line of research that will bring such tools closer to reality.
Competition, Computer Vision, NIST, Safety
- How Data Science Is Keeping People Safe During COVID-19 - Aug 25, 2020.
Data, and more importantly, the way people use it, is shaping and refining approaches to COVID-19 safety. Here's a closer look at how this is happening.
Coronavirus, COVID-19, Data Science, Safety
- Why Machine Learning is vulnerable to adversarial attacks and how to fix it - Jun 13, 2019.
Machine learning can process data imperceptible to humans to produce expected results. These inconceivable patterns are inherent in the data but may make models vulnerable to adversarial attacks. How can developers harness these features to not lose control of AI?
Adversarial, Machine Learning, Safety, Security
- Five Ways Your Safety Depends on Machine Learning - Feb 2, 2019.
Eric Siegel tells you about five ways your safety depends on machine learning, which actively protects you from all sorts of dangers, including fires, explosions, collapses, crashes, workplace accidents, restaurant E. coli, and crime.
AI, Eric Siegel, Machine Learning, Safety
- Does the Muslim Ban Make Us Safer?: Data Science vs Fake News - Apr 5, 2017.
An obvious metric we can look at for how much harm terrorists from the banned countries do to America is looking at the number of people killed on American soil by terrorists from these countries.
Donald Trump, Fake News, Safety, Security
- Machine Learning Meets Humans – Insights from HUML 2016 - Jan 6, 2017.
Report from an important IEEE workshop on Human Use of Machine Learning, covering trust, responsibility, the value of explanation, safety of machine learning, discrimination in human vs. machine decision making, and more.
Pages: 1 2
AI, Bias, Decision Making, Humans, Machine Learning, Privacy, Safety, Transparency, Trust
- Data Science + Criminal Justice - Oct 17, 2016.
The nation needs brilliant, creative minds to lead the next generation of crime forecasting. Enter the competition sponsored by National Institute of Justice to help improve policing and public safety with data science. $1.2 Million will be awarded.
Competition, Crime, Data Science, Forecasting, Police, Safety
- NIJ Crime Forecasting Challenge – help improve policing and public safety with data science! - Sep 22, 2016.
The nation needs brilliant, creative minds to lead the next generation of crime forecasting. Enter the competition sponsored by National Institute of Justice to help improve policing and public safety with data science. $1.2 Million will be awarded.
Challenge, Competition, Crime, Forecasting, Police, Safety
- Four Major Predictions for Predictive Analytics and Big Data in 2016 - Feb 2, 2016.
2016 will usher in some unmissable results of the Information Age’s latest contribution, the more effective execution of major operations across sectors with predictive analytics.
2016 Predictions, Consumers, Eric Siegel, NSA, Politics, Predictive Analytics, Safety
