as new reports emerge concerning male bias in AI … etc’
(from WPCC editorial).
As a new WPCC issue on Media Activism is published editors, Anastasia Denisova and Michaela O’Brien highlight the key issues for the issue in their editorial ‘From High Visibility to High Vulnerability: Feminist, Postcolonial and Anti-Gentrification Activism at Risk‘. What follows is an extract.
In times when hijacking of terms and stories happens on a daily basis, activism also means constant narrative recreation and damage control. Some scholars call the internet a patriarchal structure (Megarry, 2018) and there are voices that demand gender equality of the online space. The rallying cry of ‘We should all be feminists’ (Chimamanda Ngozi Adichie) is turning into ‘We should all be activists’ as new reports emerge concerning male bias in AI (Crawford, 2016; Adam, 2006; Leavy, 2018), sexist coding of digital voice assistants (West, Kraut and Ei Chew, 2019), the inherent inequality of AI-assisted recruitment processes (Dastin, 2018), and inequality of activism too. Female protesters and activists of colour face more challenges than others – due to the outbursts of toxic masculinity, racial abuse, cowardly anonymous online attacks and imbalance of visibility when it comes to hierarchy of influence. These issues are as virtual as they are real – and they need to be addressed to maintain liveable societies. As editors, we wanted to explore the possibilities for progressive activists around the world to use the media to resist the current rise of the extreme right along with disturbing and growing evidence of the techniques of fascism: populism, propaganda and fake news, hate speech and rise of hate crimes. We define ‘activism’ as ‘the widest range of attempts to effect [progressive] social or cultural change’ (Meikle, 2018: iii), while ‘the media’ includes a broad range of communication platforms, from traditional journalism to digital networks.
Adam, A. (2006). Artificial Knowing: Gender and the Thinking Machine. London: Routledge.
Crawford, K. (2016). Artificial intelligence’s white guy problem. The New York Times, 25 June.
Dastin, J. (2018). Amazon scraps secret AI recruiting tool that showed bias against women. Reuters.com, 10 October. Available at: https://www.reuters.com/article/us-amazon-com-jobs-automation-insight/amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK08G (last accessed July 2019).
Megarry, J. (2018). Under the watchful eyes of men: Theorising the implications of male surveillance practices for feminist activism on social media. Feminist Media Studies, 18(6), 1070–1085. DOI: https://doi.org/10.1080/14680777.2017.1387584
Meikle, G. (Ed.) (2018). The Routledge Companion to Media and Activism. Abingdon: Routledge. DOI: https://doi.org/10.4324/9781315475059
Leavy, S. (2018, May). Gender bias in artificial intelligence: The need for diversity and gender theory in machine learning. In Proceedings of the 1st International Workshop on Gender Equality in Software Engineering (pp. 14–16). New York: Association for Computing Machinery. DOI: https://doi.org/10.1145/3195570.3195580.
West, M., Kraut, R., & Ei Chew, H. (2019). I’d blush if I could: Closing gender divides in digital skills through education. Paris: Equals Global Partnership/UNESCO.