Submissions received by the Committee

Submissions may be re-ordered by clicking on a column header. They may also be grouped by Organisation/Individual, State/Territory.

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Page size:
 59 items in 3 pages
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Page size:
 59 items in 3 pages
1Mr Sami Makelainen (PDF 53 KB) 
2The Multicultural Professional Network Inc. (PDF 376 KB) 
3Department of Employment and Workplace Relations (PDF 483 KB) 
4Australian Information Industry Association (PDF 318 KB) 
5Australian Services Union (PDF 135 KB) 
6Australian Industrial Transformation Institute (PDF 143 KB) 
7Dr Emmanuelle Walkowiak (PDF 233 KB) 
8A/Prof Alysia Blackham (PDF 207 KB) 
9Dr Alex Veen (PDF 130 KB) 
10Workday (PDF 120 KB) 
11Queensland Nurses and Midwives' Union (PDF 378 KB) 
12UNSW-UTS Trustworthy Digital Society (PDF 295 KB) 
13Safe Work Australia (PDF 1216 KB) 
14Australian Medical Association (PDF 254 KB) 
15Industry Skills Australia (PDF 62573 KB) 
16Department of State Development and Infrastructure (PDF 1097 KB) 
17QUT Centre for Decent Work and Industry (PDF 488 KB) 
18UNSW Sydney (PDF 3864 KB) 
19RANZCR (PDF 597 KB) 
20Australian Manufacturing Workers' Union (PDF 326 KB) 

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About this inquiry

The House Standing Committee on Employment, Education and Training has been asked to inquire into and report on the rapid development and uptake of automated decision making and machine learning techniques in the workplace.

Track Inquiry

Past Public Hearings

12 Jul 2024: Canberra
03 Jul 2024: Canberra
26 Jun 2024: Canberra


Inquiry Status

Submissions Closed


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