News Article (145)
Find narratives by ethical themes or by technologies.
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- 5 min
- Indie Wire
- 2021
New virtual exhibits displayed through Web XR, or Extended Reality available over the network of internet browsers, allow Black artists and creators to present ancestral knowledge and stories while providing a new basis on which AI could be trained. This use of AI leads to an imagination free of colonial or racist constructs that may otherwise be present in digital media.
- Indie Wire
- 2021
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- 5 min
- Indie Wire
- 2021
How Black Storytellers Are Using XR and Afro-Futurism to Explore Ancestral Identity
New virtual exhibits displayed through Web XR, or Extended Reality available over the network of internet browsers, allow Black artists and creators to present ancestral knowledge and stories while providing a new basis on which AI could be trained. This use of AI leads to an imagination free of colonial or racist constructs that may otherwise be present in digital media.
How does artificial intelligence and augmented reality open doors for expression of minority voices? How can digital art be used to make a specific statement or call for a cultural shift? What are the benefits of applying wisdom from across the globe and before the digital age into the design and deployment of digital technologies?
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- 10 min
- Slate
- 2021
Using the tale of Art History Professor François-Marc Gagnon, whose video lectures were used to instruct students even after his death, this article raises questions about how technologies such as digital memory and data streaming for education in the time of coronavirus may ultimately undervalue the work of educators.
- Slate
- 2021
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- 10 min
- Slate
- 2021
How a Dead Professor Is Teaching a University Art History Class
Using the tale of Art History Professor François-Marc Gagnon, whose video lectures were used to instruct students even after his death, this article raises questions about how technologies such as digital memory and data streaming for education in the time of coronavirus may ultimately undervalue the work of educators.
What are the largest possible detriments to automating teaching, both for students and for educators? If large amounts of data from a given course or discipline were used to train an AI to teach a course, what would such a program do well, and what aspects of education would be missed? How can educators have more personal control over the digital traces of their teaching? At what point might broader access to educational materials through digital networks actually harm certain groups of people?
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- 10 min
- Gizmodo
- 2021
Physicist Brian Nord, who learned about deep learning algorithms through his research on the cosmos, warns against how developing algorithms without proper ethical sensibility can lead to these algorithms having more negative impacts than positive ones. Essentially, an “a priori” or proactive approach to instilling AI ethical sensibility, whether through review institutions or ethical education of developers, is needed to guard against privileged populations using algorithms to maintain hegemony.
- Gizmodo
- 2021
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- 10 min
- Gizmodo
- 2021
Developing Algorithms That Might One Day Be Used Against You
Physicist Brian Nord, who learned about deep learning algorithms through his research on the cosmos, warns against how developing algorithms without proper ethical sensibility can lead to these algorithms having more negative impacts than positive ones. Essentially, an “a priori” or proactive approach to instilling AI ethical sensibility, whether through review institutions or ethical education of developers, is needed to guard against privileged populations using algorithms to maintain hegemony.
What would an ideal algorithmic accountability organization or process look like? What specific ethical regions should AI developers study before creating their algorithms? How can algorithms or other programs created for one context, such as scientific research or learning, be misused in other contexts?
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- 7 min
- CNN
- 2021
The South Korean company Supertone has created a machine learning algorithm which has been able to replicate the voice of beloved singer Kim Kwang-seok, thus performing a new single in his voice even after his death. However, certain ethical questions such as who owns artwork created by AI and how to avoid fraud ought to be addressed before such technology is used more widely.
- CNN
- 2021
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- 7 min
- CNN
- 2021
South Korea has used AI to bring a dead superstar’s voice back to the stage, but ethical concerns abound
The South Korean company Supertone has created a machine learning algorithm which has been able to replicate the voice of beloved singer Kim Kwang-seok, thus performing a new single in his voice even after his death. However, certain ethical questions such as who owns artwork created by AI and how to avoid fraud ought to be addressed before such technology is used more widely.
How can synthetic media change the legacy of a certain person? Who do you believe should gain ownership of works created by AI? What factors does this depend upon? How might the music industry be changed by such AI? How could human singers compete with artificial ones if AI concerts became the norm?
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- 7 min
- Wall Street Journal
- 2021
Google’s new Pixel 6 smartphone claims to have “the world’s most inclusive camera” based on its purported ability to more accurately reflect darker skin tones in photographs, a form of digital justice notably absent from previous iterations of computational photography across the phones of various tech monopolies.
- Wall Street Journal
- 2021
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- 7 min
- Wall Street Journal
- 2021
Google Built the Pixel 6 Camera to Better Portray People With Darker Skin Tones. Does It?
Google’s new Pixel 6 smartphone claims to have “the world’s most inclusive camera” based on its purported ability to more accurately reflect darker skin tones in photographs, a form of digital justice notably absent from previous iterations of computational photography across the phones of various tech monopolies.
How can “arms races” between different tech monopolies potentially lead to positive innovations, especially those that center equity? Why did it take so long to have a more inclusive camera? How can a camera be exclusive?
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- 7 min
- The Verge
- 2020
PULSE is an algorithm which can supposedly determine what a face looks like from a pixelated image. The problem: more often than not, the algorithm will return a white face, even when the person from the pixelated photograph is a person of color. The algorithm works through creating a synthetic face which matches with the pixel pattern, rather than actually clearing up the image. It is these synthetic faces that demonstrate a clear bias toward white people, demonstrating how institutional racism makes its way thoroughly into technological design. Thus, diversity in data sets will not full help until broader solutions combatting bias are enacted.
- The Verge
- 2020
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- 7 min
- The Verge
- 2020
What a machine learning tool that turns Obama white can (and can’t) tell us about AI bias
PULSE is an algorithm which can supposedly determine what a face looks like from a pixelated image. The problem: more often than not, the algorithm will return a white face, even when the person from the pixelated photograph is a person of color. The algorithm works through creating a synthetic face which matches with the pixel pattern, rather than actually clearing up the image. It is these synthetic faces that demonstrate a clear bias toward white people, demonstrating how institutional racism makes its way thoroughly into technological design. Thus, diversity in data sets will not full help until broader solutions combatting bias are enacted.
What potential harms could you see from the misapplication of the PULSE algorithm? What sorts of bias-mitigating solutions besides more diverse data sets could you envision? Based on this case study, what sorts of real-world applications should facial recognition technology be trusted with?