Machine Learning Times
EXCLUSIVE HIGHLIGHTS
You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...
Hybrid AI: Industry Event Signals Emerging Hot Trend
 Originally published in Forbes After decades chairing and keynoting myriad...
Predictive AI Thrives, Despite GenAI Stealing The Spotlight
 Originally published in Forbes Generative AI and predictive AI ought...
For Managing Business Uncertainty, Predictive AI Eclipses GenAI
  Originally published in Forbes The future is the ultimate...

Author Archive

MIT Apologizes, Permanently Pulls Offline Huge Dataset That Taught AI Systems To Use Racist, Misogynistic Slurs

 Originally published in The Register, July 1, 2020 Top uni takes action after El Reg highlights concerns by academics. Special report MIT has taken offline its highly cited dataset that trained AI systems to potentially describe people using racist, misogynistic, and other problematic terms. The database was removed this week after The Register alerted the

Challenges of Comparing Human and Machine Perception

 Originally published in The Gradient, July 6, 2020 Deep Neural Networks (DNNs) have become very successful in the domain of artificial intelligence. They have begun to directly influence our lives through image recognition, automated machine translation, precision...

Speech Recognition Tech Is Yet Another Example of Bias

 Originally published in Scientific American, July 5, 2020. Siri, Alexa and other programs sometimes have trouble with the accents and speech patterns of people from many underrepresented groups. “Clow-dia,” I say once. Twice. A third time. Defeated,...

It’s a Bird, It’s a Plane, It’s a Classified Flying Object

 How Computer Vision Is Used To Classify Objects. Featuring in-depth explanations and interviews with AiBUY and Pensa Systems about their computer vision classification applications in retail and eCommerce. The Task Image classification is one of the fundamental...

Overcoming the Explainability Challenges of Machine Learning Models

 Some History Machine Learning Models, which have historically been referred to as predictive models, are not new. Any early practitioner in this field would emphasize that the two key deliverables of any model are as follows: its...

What a Machine Learning Tool That Turns Obama White Can (And Can’t) Tell Us About AI Bias

 Originally published in The Verge, June 23, 2020 A striking image that only hints at a much bigger problem. It’s a startling image that illustrates the deep-rooted biases of AI research. Input a low-resolution picture of Barack...

Amazon Touts AI for Social Distancing Amid Worker Complaints

 Originally published in Wired.com, June 18, 2020 Facing criticism over workplace safety, the company is using cameras, sensors, and augmented reality to warn employees when they’re too close to one another. Covid-19 sent Amazon scrambling to adapt...

What I Learned From Looking at 200 Machine Learning Tools

 Originally published in Chip Huyen Blog, June 22, 2020 To better understand the landscape of available tools for machine learning production, I decided to look up every AI/ML tool I could find. The resources I used include:...

Who Is Responsible When Autonomous Systems Fail?

 Originally published in CIGIonline.org, June 15, 2020 Elaine Herzberg was killed on the night of March 18, 2018, after she was struck by a self-driving Uber car in Tempe, Arizona. Herzberg was crossing the street with her...

An Algorithm That ‘Predicts’ Criminality Based on a Face Sparks a Furor

 Originally published in Wired.com, June 24, 2020 Its creators said they could use facial analysis to determine if someone would become a criminal. Critics said the work recalled debunked “race science.” In early May, a press release...

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