Kyle Conway Bücher

A look back at the failures of the media during the collapse of the Meech Lake and Charlottetown Accords

In Cloud Ethics Louise Amoore examines how machine learning algorithms are transforming the ethics and politics of contemporary society. Conceptualizing algorithms as ethicopolitical entities that are entangled with the data attributes of people, Amoore outlines how algorithms give incomplete accounts of themselves, learn through relationships with human practices, and exist in the world in ways that exceed their source code. In these ways, algorithms and their relations to people cannot be understood by simply examining their code, nor can ethics be encoded into algorithms. Instead, Amoore locates the ethical responsibility of algorithms in the conditions of partiality and opacity that haunt both human and algorithmic decisions. To this end, she proposes what she calls cloud ethics—an approach to holding algorithms accountable by engaging with the social and technical conditions under which they emerge and operate.

Kyle Conway's textual analysis and in-depth research, including interviews from the show's creator, executive producers, writers, and CBC executives, reveals the many ways Muslims have and have not been integrated into North American television.

This candid, concise volume explores how we can open ourselves up to the ideas and people that scare us by reading difficult texts. Author Kyle Conway argues that because we resist ideas we don’t understand, we must embrace confusion as a fundamental ingredient for meaning and exchange, whether between a reader and a text or between two people. Through evaluating the paradox of miscommunication, Conway posits that it’s uncertainty that results in deeper understanding and proposes strategies for reading that will allow individuals to give up the illusion of certainty. In elegant and compelling prose, How to Read Like You Mean It introduces readers to the idea that it is through ambiguity that we can gain access to new, profound worlds—those of texts and other people.