APOOL EMPLOYMENT SVCBusiness Directories,Company Directories

Company Name: Corporate Name:	A-POOL EMPLOYMENT SVC
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Company Address:	2814 Mcconnell Ave,SASKATOON,SK,Canada
ZIP Code: Postal Code:	S7J0W5
Telephone Number:	3066527665
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USA SIC Code(Standard Industrial Classification Code):	736103
USA SIC Description:	Employment Agencies & Opportunities
Number of Employees:	1 to 4
Sales Amount:	Less than $500,000
Credit History: Credit Report:	Good
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Company News:

Major AI conference flooded with peer reviews written fully by AI
Controversy has erupted after 21% of manuscript reviews for an international AI conference were found to be generated by artificial intelligence
ICLR Conference: AI-Generated Reviews Spark Controversy
Controversy has erupted after it was revealed that 21% of paper reviews submitted to ICLR (International Conference on Learning Representations), one of the world’s top three AI conferences, to be held in Rio de Janeiro, Brazil, next April, were written by AI As the explosive growth in AI-related papers has increased the workload of scholars writing reviews, some have reportedly delegated
Major AI Conference Flooded With Peer Reviews Written Fully . . .
An analysis of submissions to next year's International Conference on Learning Representations has found that roughly one in five peer reviews were fully generated by AI, a discovery that came after researchers including Carnegie Mellon's Graham Neubig grew suspicious of feedback on their manuscript
The Worlds Top AI Academic Conference Was Hacked by AI: Over . . .
The conference chair admitted that the exponential growth in the AI field has forced each reviewer to review 5 papers within two weeks, far exceeding previous workloads, which is a structural cause of the rampant "AI ghostwriting "
A New Conference Presented Scientific Papers Written and . . .
But on October 22, an experimental—and controversial—conference flipped those rules: All of the work shared at the meeting was prepared and reviewed by A I Even if humans were involved
ICLR 2026 Scandal: 21% of Peer Reviews AI-Generated, Raising . . .
A scandal at the 2026 ICLR conference revealed that 21% of peer reviews were fully AI-generated, exposing vulnerabilities in academic integrity amid rising submissions and reviewer workloads This trend sparks ethical debates and calls for stricter guidelines Conferences are experimenting with hybrid systems to balance efficiency and trust
Frustrated authors withdraw papers after realizing their . . .
The current review phase for the next major AI conference reveals deep cracks in the scientific enterprise While researchers from elite universities invent AI-generated sources, frustrated authors are withdrawing their papers because reviewers apparently no longer read them, but instead let AI write the critiques