Professional Responsibility (52)
Find narratives by ethical themes or by technologies.
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- 5 min
- MIT Technology Review
- 2019
Humans take the blame for failures of AI automated systems, protecting the integrity of the technological system and becoming a “liability sponge.” It is necessary to redefine the role of humans in sociotechnical systems.
- MIT Technology Review
- 2019
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- 5 min
- MIT Technology Review
- 2019
When algorithms mess up, the nearest human gets the blame
Humans take the blame for failures of AI automated systems, protecting the integrity of the technological system and becoming a “liability sponge.” It is necessary to redefine the role of humans in sociotechnical systems.
Should humans take the blame for algorithm-created harm? At what level (development, corporate, or personal) should this liability occur?
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- 7 min
- The New Republic
- 2020
The narrative of Dr. Timnit Gebru’s termination from Google is inextricably bound with Google’s irresponsible practices with training data for its machine learning algorithms. Using large data sets to train Natural Language Processing algorithms is ultimately a harmful practice because for all the harms to the environment and biases against certain languages it causes, machines still cannot fully comprehend human language.
- The New Republic
- 2020
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- 7 min
- The New Republic
- 2020
Who Gets a Say in Our Dystopian Tech Future?
The narrative of Dr. Timnit Gebru’s termination from Google is inextricably bound with Google’s irresponsible practices with training data for its machine learning algorithms. Using large data sets to train Natural Language Processing algorithms is ultimately a harmful practice because for all the harms to the environment and biases against certain languages it causes, machines still cannot fully comprehend human language.
Should machines be trusted to handle and process the incredibly nuanced meaning of human language? How do different understandings of what languages and words mean and represent become harmful when a minority of people are deciding how to train NLP algorithms? How do tech monopolies prevent more diverse voices from entering this conversation?
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- 9 min
- Kinolab
- 2010
On a fall night in 2003, Harvard undergrad and computer programming genius Mark Zuckerberg sits down at his computer and heatedly begins working on a new idea. In a fury of blogging and programming, what begins in his dorm room as a small site among friends soon becomes a global social network and a revolution in communication. A mere six years and 500 million friends later, Mark Zuckerberg is the youngest billionaire in history… but for this entrepreneur, success leads to both personal and legal complications.
- Kinolab
- 2010
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- 9 min
- Kinolab
- 2010
Facebook Origins and Control Over Photos
On a fall night in 2003, Harvard undergrad and computer programming genius Mark Zuckerberg sits down at his computer and heatedly begins working on a new idea. In a fury of blogging and programming, what begins in his dorm room as a small site among friends soon becomes a global social network and a revolution in communication. A mere six years and 500 million friends later, Mark Zuckerberg is the youngest billionaire in history… but for this entrepreneur, success leads to both personal and legal complications.
With increased sophistication of hacking, are anyone’s photos ever private in a digital space? When personal photos are uploaded to digital platforms for one purpose, how can users ensure that they are not used for another purpose? Has Facebook truly evolved beyond its roots of using photos to make binary judgements about people, or will this “hot or not” program always be a part of its character? How are women in particular targeted and impacted by privacy of photos? How does this narrative highlight some of the problems with the use of Facebook today? How did Facebook’s “coolness,” along with its apparent lack of cost for use, help it corner markets and make unfathomable profits?
The Social Network: Opening Scene-
- 8 min
- Kinolab
- 1997
Dr. Ellie Arroway is a scientist who has been chosen to make contact with the first confirmed extraterrestrial life. However, as contact with the start system Vega advances, religious fanatics and other extremist groups prepare for the moment of interaction. This moment in the film juxtaposes how Ellie, an atheist scientist, only looks forward to the scientific progress toward extraterrestrial contact while others, including the religious extremists, fear it. In general, this clip explores how technology can have diverse social impact and the hysteria that it can foster as it shatters preconceived notions. Later, one such religious terrorist sabotages the transport of Dr. Drumlin in the new machine through a suicide bombing, killing them both.
- Kinolab
- 1997
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- 8 min
- Kinolab
- 1997
Technology Versus Religious Fanaticism
Dr. Ellie Arroway is a scientist who has been chosen to make contact with the first confirmed extraterrestrial life. However, as contact with the start system Vega advances, religious fanatics and other extremist groups prepare for the moment of interaction. This moment in the film juxtaposes how Ellie, an atheist scientist, only looks forward to the scientific progress toward extraterrestrial contact while others, including the religious extremists, fear it. In general, this clip explores how technology can have diverse social impact and the hysteria that it can foster as it shatters preconceived notions. Later, one such religious terrorist sabotages the transport of Dr. Drumlin in the new machine through a suicide bombing, killing them both.
How might technological advancement challenge preconceived notions of the world, especially religious ones? Are science, computer science, and innovation sorts of religions in their own right? In an increasingly networked world, how do extremist enclaves rally together to pose a threat to humanity? How can ignorance be combatted in an age where information can be accessed quickly and technology changes the landscape of society?
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- 5 min
- Kinolab
- 2015
In this Steve Jobs biopic, he is depicted as a man whose ego and pride regarding his work obscures his ability to treat others with respect and kindness. Only after seeing his daughter Lisa make art using MacPaint does Steve Jobs consider providing more financial support to her and Chrisann, his ex-wife. He initially argues that he is not beholden to this financial support, given that his company already donates computers to less privileged schools.
- Kinolab
- 2015
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- 5 min
- Kinolab
- 2015
Child Computer Use
In this Steve Jobs biopic, he is depicted as a man whose ego and pride regarding his work obscures his ability to treat others with respect and kindness. Only after seeing his daughter Lisa make art using MacPaint does Steve Jobs consider providing more financial support to her and Chrisann, his ex-wife. He initially argues that he is not beholden to this financial support, given that his company already donates computers to less privileged schools.
How can children in particular use digital technologies to express their creativity? Do digital technologies enhance or limit creativity in art? Whose responsibility is it to distribute educational technologies to under-resourced areas? Why is this action essential? How can tech monopolies, and individual tech giants, be more responsible with their massive amounts of wealth?
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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.
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?