Bias or discrimination on the basis of gender in the tech workplace and in technologies created (video games, voice assistants, etc.)
Gender Bias (11)
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- 12 min
- Kinolab
- 2016
“Hidden Figures” chronicles the journeys of Katherine Johnson (Taraji P. Henson), Dorothy Vaughan (Octavia Spencer), and Mary Jackson (Janelle Monáe), three black women who worked on the space missions at the Langley Research Center in Hampton, Virginia in 1961. All three women persist against segregation and abject racism as they climb the ladder and make important contributions to the space mission. While Katherine becomes the first black woman on Al Harrison’s Space Task Group, Mary Jackson pursues her dream of becoming an engineer at NASA by petitioning to take courses at an all white school, and Dorothy Vaughan attempts to learn the programming language Fortran in order to ensure that herself and fellow human computers are not replaced by the newest IBM 7090 computer.
- Kinolab
- 2016
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- 12 min
- Kinolab
- 2016
Hidden Figures Part II: Goals of Equity and Women of Color in the Workplace
“Hidden Figures” chronicles the journeys of Katherine Johnson (Taraji P. Henson), Dorothy Vaughan (Octavia Spencer), and Mary Jackson (Janelle Monáe), three black women who worked on the space missions at the Langley Research Center in Hampton, Virginia in 1961. All three women persist against segregation and abject racism as they climb the ladder and make important contributions to the space mission. While Katherine becomes the first black woman on Al Harrison’s Space Task Group, Mary Jackson pursues her dream of becoming an engineer at NASA by petitioning to take courses at an all white school, and Dorothy Vaughan attempts to learn the programming language Fortran in order to ensure that herself and fellow human computers are not replaced by the newest IBM 7090 computer.
Discussion Prompts:
How is the history of the oppression of Black people in America responsible for a lack of diversity in workplaces, including those involving science and technology in the present? What do technology companies in the current day need to consider in order to ensure that their workforce is diverse and equitable? What does the specific case of Dorothy being initially denied access to the Fortran book reveal about the past and present accessibility of minority groups to fluency in digital technologies? What needs to happen inside of and outside of the technology industry to ensure better opportunities for women of color in technology-focused workplaces? What role does implicit bias play in all of these considerations?
Hidden Figures: I Work Like a Dog-
- 5 min
- Kinolab
- 2019
In an imagined future of London, citizens all across the globe are connected to the Feed, a device and network accessed constantly through a brain-computer interface. In this narrative, Ben, a member of the family who owns the company which created the Feed, uses the augmented reality features to create a virtual version of his ex-wife, Miyu, who he can make indulge in his own fantasies, regardless of what those may be. Eventually, this digital version of Miyu starts to glitch, but Ben nonetheless begins to share this virtual, subservient clone to other people to use in their own fantasies.
- Kinolab
- 2019
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- 5 min
- Kinolab
- 2019
VR Intimacy and Objectification
In an imagined future of London, citizens all across the globe are connected to the Feed, a device and network accessed constantly through a brain-computer interface. In this narrative, Ben, a member of the family who owns the company which created the Feed, uses the augmented reality features to create a virtual version of his ex-wife, Miyu, who he can make indulge in his own fantasies, regardless of what those may be. Eventually, this digital version of Miyu starts to glitch, but Ben nonetheless begins to share this virtual, subservient clone to other people to use in their own fantasies.
Discussion Prompts:
How are women deprived of autonomy when men are able to control virtual versions of women in their own digital fantasies? How exactly would the consequences of this infect the real world? Is it ethical to use someone’s image and likeness for private purposes without their consent? How can we ‘copyright’ our own image?
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- 3 min
- Kinolab
- 2014
Donald and Helen, a married couple, are both dissatisfied with their marriage, particularly in their sexual relationship, and so unwilling to communicate with each other that they both want to cheat on each other. The technology in this clip are the websites on which they both succumb to the temptation of an affair.
- Kinolab
- 2014
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- 3 min
- Kinolab
- 2014
Infidelity and Social Networks
Donald and Helen, a married couple, are both dissatisfied with their marriage, particularly in their sexual relationship, and so unwilling to communicate with each other that they both want to cheat on each other. The technology in this clip are the websites on which they both succumb to the temptation of an affair.
Discussion Prompts:
Are websites like the ones shown in this narrative a justifiable affordance of social networks and digital technologies? Does the facility of making connections with other people make infidelity overall easier to accomplish? Does having these more private, secluded channels make communication between dissatisfied partners harder? In thinking particularly about the “Escort Edition” website, what is problematic about its quantification of women and “shopping” user interface?
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- 41 min
- The New York Times
- 2021
In this podcast episode, Ellen Pao, an early whistleblower on gender bias and racial discrimination in the tech industy, tells the story of her experience suing the venture capital firm Kleiner Perkins for gender discrimination. The episode then moves into a discussion of how Silicon Valley, and the tech industry more broadly, is dominated by white men who do not try to deeply understand or move toward racial or gender equity; instead, they focus on PR moves. Specifically, she reveals that social media companies and CEOs can be particularly performative when it comes to addressing racial or gender inequality, focusing on case studies rather than breeding a new, more fair culture.
- The New York Times
- 2021
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- 41 min
- The New York Times
- 2021
Sexism and Racism in Silicon Valley
In this podcast episode, Ellen Pao, an early whistleblower on gender bias and racial discrimination in the tech industy, tells the story of her experience suing the venture capital firm Kleiner Perkins for gender discrimination. The episode then moves into a discussion of how Silicon Valley, and the tech industry more broadly, is dominated by white men who do not try to deeply understand or move toward racial or gender equity; instead, they focus on PR moves. Specifically, she reveals that social media companies and CEOs can be particularly performative when it comes to addressing racial or gender inequality, focusing on case studies rather than breeding a new, more fair culture.
Discussion Prompts:
How did Silicon Valley and the technology industry come to be dominated by white men? How can this be addressed, and how can the culture change? How can social networks in particular be re-imagined to open up doors to more diverse leadership and workplace cultures?
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- 10 min
- The Atlantic
- 2014
When the Apple Health app first released, it lacked one crucial component: the ability to track menstrual cycles. This exclusion of women from accessible design of technology is not the exception but rather the rule. This results from problems inherent to the gender imbalance in technology workplaces, especially at the level of design. Communities such as the Quantified Self offer spaces to help combat this exclusive culture.
- The Atlantic
- 2014
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- 10 min
- The Atlantic
- 2014
How Self-Tracking Apps Exclude Women
When the Apple Health app first released, it lacked one crucial component: the ability to track menstrual cycles. This exclusion of women from accessible design of technology is not the exception but rather the rule. This results from problems inherent to the gender imbalance in technology workplaces, especially at the level of design. Communities such as the Quantified Self offer spaces to help combat this exclusive culture.
Discussion Prompts:
In what ways are women being left behind by personal data tracking apps, and how can this be fixed? How can design strategies and institutions in technology development be inherently sexist? What will it take to ensure glaring omissions such as this one do not occur in other future products? How can apps that track and promote certain behaviors avoid being patronizing or patriarchal?