This week’s Top Automation Articles focus on Artificial Intelligence stories to covers the problem of bias in AI and how businesses and governments are working to build trust in technology. The AI startup i.e parity- shares that they’re excited to help organizations to improve the quality and safety of their AI systems. Also, companies like OpenAI and Alphabet released environments to train “safe” AI systems for different types of applications. These Safety tools for AI training are designed to prevent systems from engaging in dangerous behaviors that might lead to errors.

Moreover, GitHub just released a new feature with the name “GitHub Copilot” that will help to write code more efficiently, suggesting lines of code and even sometimes entire functions. Christoper shares how AI is moving from data centers to devices and making it more private.

There is much more to explore. So, let’s dive into the automation world!

10. Using A.I. to Find Bias in A.I.

The problem of bias in artificial intelligence is facing increasing scrutiny from regulators and is a growing business for start-ups and tech stalwarts.

new york time

Read More: NY Times

Author: Cade Metz

9. AI safety tools can help mitigate bias in algorithms

As AI proliferates, researchers are beginning to call for technologies that might foster trust in AI-powered systems. According to a survey conducted by KPMG, across five countries — the U.S., the U.K., Germany, Canada, and Australia — over a third of the general public says that they’re unwilling to place trust in AI systems in general.


Read More: Venture Beat

Author: Kyle Wiggers

8. GitHub previews new AI tool that makes coding suggestions

GitHub previews a new AI tool that make coding suggestions, According to TechCrunch, GitHub has unveiled a replacement product that leverages AI to assist you to write code more efficiently. Named GitHub Copilot, today’s new product can suggest lines of code and even sometimes entire functions.

GitHub previews new AI tool that makes coding suggestions

Read More: Automeme

7. How AI Is Taking Over Our Gadgets

AI is moving from data centers to devices, making everything from phones to tractors faster and more private. These newfound smarts also come with pitfalls.

Apple purple

Read More: Wall Street Journal

Author: Christopher Mims

6. How do we get to a possible future with AI? Meet the AI Adoption Maturity Curve

PROS Chief AI Strategist Dr. Michael Wu outlines a valuable maturity model for AI – something sorely needed as AI increasingly becomes a necessity and a commodity.


Read More: ZDNet

Author: Paul Greenberg

5. Microsoft says a third of its government data requests have secrecy orders

Microsoft’s customer security chief says as many as one-third of all government demands that the company receives for customer data are issued with secrecy clauses that prevent it from disclosing the search to the subject of the warrant.

Bill Gates Steps Down From Microsoft's Board

Read More: Tech Crunch

Author: Zack Whittaker

4. Blaize and eYs3D Partner for Advanced Computer Vision Capability

AI edge computing and automotive computing solutions provider Blaize has teamed up with eYs3D Microelectronics, an image processor solution provider enabling enhanced 3D computer vision for edge AI.


Read More:

Author: Alex McFarland

3. Zoom acquires an AI company building real-time translation

Zoom has announced that it’s acquiring a company known as Kites (short for Karlsruhe Information Technology Solutions), which has worked on creating real-time translation and transcription software.

The Verge

Read More: The Verge

Author: Mitchell Clark

2. EU Privacy Watchdogs Seek AI Biometrics and Facial Recognition Ban in Public Spaces

Two of the European Union’s leading independent data protection watchdogs, EDPB and the EDPS, are jointly calling for a widespread ban on the use of AI-driven biometric identification in public places.


Read More: CPO Magzine

Author: Scott Ikeda

1. Top 10 Google Products Empowered by Artificial Intelligence

Google claims that its advancements in technology and enhanced customer service would not have been possible had it not invested in disruptive technologies like artificial intelligence, machine learningdeep learning, and others.


Read More: Analytics Insight