The search found 417 results in 0.061 seconds.
This paper presents an interdependent set of technical, organisational, and social challenges to be addressed en route to library operationalisation of data science, machine learning, and artificial intelligence (AI).
This presentation by Alice Martin, the Head of Work and Pay at the New Economics Foundation, outlines a proposal for a four day working week, and other bold initiatives to solve work in the future.
This presentation, by Geri Sumpter from Beyond Blue, looks at mental wellbeing at work in the digital economy.
Panel discussion - how the social and human services sector learn from how manufacturing is reconfiguring work and workers.
Presentation by Stefaan Verhulst, on the emergent practice of community and city data collaboratives.
Google and Facebook help connect the world and provide crucial services to billions. However, this report argues that their surveillance-based business model is inherently incompatible with the right to privacy and poses a threat to a range of other rights, including freedom of opinion and...
There is concern among policymakers about the effect of gig work on the financial stability of gig workers. This paper provides a New Zealand-specific typology for identifying gig work, and discusses conceptual and practical issues related to measuring it.
The analysis presented in this report demonstrates a new way to identify the kinds of tasks and occupations likely to be affected by AI’s machine learning capabilities, rather than automation’s robotics and software impacts on the economy.
This report outlines how ‘liquid’ workers, such as gig economy workers and the self-employed, face greater barriers to financial inclusion compared to traditional workers. The report sets out a policy agenda to boost the financial security and inclusion of the liquid workforce.
This speech, by ACCC Chair Rod Sims, given to the Consumer Policy Research Conference (CPRC) Conference, suggests that takeovers of smaller rivals by digital platforms, including their data sets, may pose a threat to consumers’ choice and privacy.