Themes (326)
Find narratives by ethical themes or by technologies.
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- 5 min
- BBC
- 2021
The ability of facial recognition technology used by the South Wales Police force to identify an individual based on biometric data nearly instantly rather than the previous standard of 10 days allowed a mother to say goodbye to her son on his deathbed. It seems to have other positive impacts, such as identifying criminals earlier than they otherwise might have been. However, as is usually the case, concerns abound about how this facial recognition technology can violate human rights.
- BBC
- 2021
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- 5 min
- BBC
- 2021
Facial recognition technology meant mum saw dying son
The ability of facial recognition technology used by the South Wales Police force to identify an individual based on biometric data nearly instantly rather than the previous standard of 10 days allowed a mother to say goodbye to her son on his deathbed. It seems to have other positive impacts, such as identifying criminals earlier than they otherwise might have been. However, as is usually the case, concerns abound about how this facial recognition technology can violate human rights.
Who can be trusted with facial recognition algorithms that can give someone several possibilities for the identity of a particular face? Who can be trusted to decide in what cases this technology can be deployed? How can bias become problematic when a human is selecting one of many faces recommended by the algorithm? Should the idea of constant surveillance or omnipresent cameras make us feel safe or concerned?
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- 3 min
- techviral
- 2018
In India, where disappearance of children is a common social issue, facial recognition technology has been useful in identifying and located many missing or displaced children. This breakthrough means that the technology can hopefully be applied to help ameliorate this issue, as well as in other areas such as law enforcement.
- techviral
- 2018
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- 3 min
- techviral
- 2018
New Facial Recognition System Helps Trace 3000 Missing Children In Just 4 Days
In India, where disappearance of children is a common social issue, facial recognition technology has been useful in identifying and located many missing or displaced children. This breakthrough means that the technology can hopefully be applied to help ameliorate this issue, as well as in other areas such as law enforcement.
In what ways does this specific technology serve the common good in India? What are the concerns about the privacy of the children involved, and is this outweighed by the value of safety? To what degree does facial recognition technology actually help solve this problem in general?
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- 6 min
- TED
- 2020
Jamila Gordon, an AI activist and the CEO and founder of Lumachain, tells her story as a refugee from Ethiopia to illuminate the great strokes of luck that eventually brought her to her important position in the global tech industry. This makes the strong case for introducing AI into the workplace, as approaches using computer vision can lead to greater safety and machine learning can be applied to help those who may speak a language not dominant in that workplace or culture train and acclimate more effectively.
- TED
- 2020
How AI can help shatter barriers to equality
Jamila Gordon, an AI activist and the CEO and founder of Lumachain, tells her story as a refugee from Ethiopia to illuminate the great strokes of luck that eventually brought her to her important position in the global tech industry. This makes the strong case for introducing AI into the workplace, as approaches using computer vision can lead to greater safety and machine learning can be applied to help those who may speak a language not dominant in that workplace or culture train and acclimate more effectively.
Would constant computer vision surveillance of a workplace be ultimately positive or negative or both? How could it be ensured that machine learning algorithms were only used for positive forces in a workplace? What responsibility to large companies have to help those in less privileged countries access digital fluency?
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- 7 min
- MIT Tech Review
- 2020
This article examines several case studies from the year of 2020 to discuss the widespread usage, and potential for limitation, of facial recognition technology. The author argues that its potential for training and identification using social media platforms in conjunction with its use by law enforcement is dangerous for minority groups and protestors alike.
- MIT Tech Review
- 2020
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- 7 min
- MIT Tech Review
- 2020
Why 2020 was a pivotal, contradictory year for facial recognition
This article examines several case studies from the year of 2020 to discuss the widespread usage, and potential for limitation, of facial recognition technology. The author argues that its potential for training and identification using social media platforms in conjunction with its use by law enforcement is dangerous for minority groups and protestors alike.
Should there be a national moratorium on facial recognition technology? How can it be ensured that smaller companies like Clearview AI are more carefully watched and regulated? Do we consent to having or faces identified any time we post something to social media?
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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
- Venture Beat
- 2021
As machine learning algorithms become more deeply embedded in all levels of society, including governments, it is critical for developers and users alike to consider how these algorithms may shift or concentrate power, specifically as it relates to biased data. Historical and anthropological lenses are helpful in dissecting AI in terms of how they model the world, and what perspectives might be missing from their construction and operation.
- Venture Beat
- 2021
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- 7 min
- Venture Beat
- 2021
Center for Applied Data Ethics suggests treating AI like a bureaucracy
As machine learning algorithms become more deeply embedded in all levels of society, including governments, it is critical for developers and users alike to consider how these algorithms may shift or concentrate power, specifically as it relates to biased data. Historical and anthropological lenses are helpful in dissecting AI in terms of how they model the world, and what perspectives might be missing from their construction and operation.
Whose job is it to ameliorate the “privilege hazard”, and how should this be done? How should large data sets be analyzed to avoid bias and ensure fairness? How can large data aggregators such as Google be held accountable to new standards of scrutinizing data and introducing humanities perspectives in applications?