Archives for FAIRNESS
“If you don’t have MLOps, you don’t have proper automation which reduces the speed of any deployment or development.”
The post The Indispensable MLOps Engineer in an ML Lifecycle appeared first on Analytics India Magazine.
Private enterprises use several algorithms for decision making on a day-to-day basis. Many of them have also realised or have been made aware of the consequences of using algorithms that might be biased towards individuals or sections of society. To avoid such incidents from occurring again, many tech companies are taking steps to ensure FATE…
The post Top Third-party Initiatives To Ensure Algorithmic FATE For Enterprises appeared first on Analytics India Magazine.
According to research, it is estimated that AI could contribute $15.7 trillion to the global economy by 2030. As AI-enhanced products diffuse into markets and households, service providers have a gigantic task to facilitate interpretable algorithmic decision making. Over the past couple of years, many fairness tools have been introduced to make ML models more…
The post Want Your ML Algorithm To Be Fair? Check These 8 Tools appeared first on Analytics India Magazine.
Human societies are extremely complex. The cultural, racial and geographical differences around the globe and the lack of curated data make ‘fairness’ in technology a huge challenge. Now, in an attempt to track the long term societal impacts of artificial intelligence, Google researchers recently released a machine learning fairness gym. They have done this by…
The post Google’s New ML Fairness Gym Has A Clear Mission — Track Down Bias & Promote Fairness In AI appeared first on Analytics India Magazine.
Explainable AI refers to methods and techniques in the application of artificial intelligence such that the results of the solution can be understood by human experts. It contrasts with the concept of the "black box" in machine learning and enables transparency. The need for transparency could be seen in the increased interest of the researchers.…
The post What Makes Explainable AI So Difficult appeared first on Analytics India Magazine.
5 Decades Of Machine Learning Unfairness: The Eerie Way In Which Prejudice Crept Into Algorithms
The notion of machine learning fairness can be bottled down to the following facets of data pre-processing: Demographic parity Equal opportunity Equalised odds Disparate impact To remove prejudices from a model might not be an impossible task but can any application which serves humans be immune to the human itself. And, even if the human…
The post 5 Decades Of Machine Learning Unfairness: The Eerie Way In Which Prejudice Crept Into Algorithms appeared first on Analytics India Magazine.
The accuracy of state-of-the-art object detection systems is often under scanner for seemingly obvious reasons. From unlocking the phone to self-driving cars, object detection is almost everywhere. As computer vision applications grow in popularity, it has become crucial to keep their flaws in check or at least detect them in the first place. These flaws…
The post Soap In London = Sandwich In Nepal: Does Object Recognition Work The Same Way For Everyone? appeared first on Analytics India Magazine.