A response is needed to the numerous issues spurred by the expansion of the gig economy, where flexible patterns of employment prevail in contrast to permanent jobs. In this context of the exponential growth of the digital economy and underlying business models the largest nationwide study of its kind into the impact of the working conditions in the UK music industry ‘Can Music Make You Sick?’ has been conducted by MusicTank/University of Westminster.
This research suggests the need to consider the future of work not only from an economic or employment law perspective but from a mental health one too. What are the psychological implications of precarious work and how are factors such as financial instability, the feedback economy and personal relationships reflected in mental health outcomes or connected to the business relationships most musicians and other gig economy participants work under?
Authors Sally-Anne Gross, George Musgrave and Laima Janciute consider which policy measures may help or harm gig economy workers including the taxation of self-employed workers, a universal basic income, education around mental health issues and access to mental health support.Book Details
Through algorithms and artificial intelligence (AI), objects and digital services now demonstrate new skills they did not have before, right up to replacing human activity through pre-programming or by making their own decisions. As part of the internet of things, AI applications are already widely used today, for example in language processing, image recognition and the tracking and processing of data.
This policy brief illustrates the potential negative and positive impacts of AI and reviews related policy strategies adopted by the UK, US, EU, as well as Canada and China. Based on an ethical approach that considers the role of AI from a democratic perspective and considering the public interest, the authors make policy recommendations that help to strengthen the positive impact of AI and to mitigate its negative consequences.Book Details