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N.S. university teachers association says premier is using political intimidation
The teachers association calls the email political intimidation as public opposition to the $10-billion project grows, with a petition topping 24,000 signatures.
- Nova Scotia University Teachers accused Nova Scotia Premier Tim Houston of political intimidation on Wednesday after his office emailed a professor criticizing his public comments on a proposed artificial intelligence data centre.
- A communications adviser in Houston's office emailed Toronto Metropolitan University professor Sibo Chen, describing his CBC News interview about the Point Tupper data centre as "slanted and irresponsible," and copied his department chair.
- Association president Mathew Reichertz condemned the response as a threat to academic freedom, stating, "Faculty should never have to fear that sharing their findings" could jeopardize research support or employment.
- Houston defended the action on Wednesday, telling reporters he is glad the staffer sent the complaint and that Chen's comments about the $10-billion data centre were incorrect.
- Opposition to the data centre project, featuring a 20-year lease by Anthropic at Everwind Fuels, continues to grow with a petition on Change garnering over 24,000 signatures as of Wednesday.
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N.S. university teachers' association says premier is using political intimidation
While Premier Tim Houston said he's glad a staffer in his office sent a complaint to a Toronto professor who had commented on a proposed artificial intelligence data centre, the Association of Nova Scotia University Teachers is calling it a threat to academic freedom.
·Ottawa, Canada
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An association representing Nova Scotia's university teachers accused Premier Tim Houston of political intimidation after his office complained to a Toronto professor who had commented on a project for a data centre dedicated to artificial intelligence.
Coverage Details
Total News Sources5
Leaning Left2Leaning Right0Center2Last UpdatedBias Distribution50% Left, 50% Center
Bias Distribution
- 50% of the sources lean Left, 50% of the sources are Center
50% Center
L 50%
C 50%
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