Professional Responsibility (52)
Find narratives by ethical themes or by technologies.
FILTERreset filters-
- 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
-
- 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?
-
- 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
-
- 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?
-
- 7 min
- VentureBeat
- 2021
The GPT-3 Natural Language Processing model, created by the company open AI and released in 2020, is the most powerful of its kind, using a generalized approach to feed its machine learning algorithm in order to mirror human speech. The potential applications of such a powerful program are manifold, but this potential means that many tech monopolies may want to enter an “arms race” to get the most powerful model possible.
- VentureBeat
- 2021
-
- 7 min
- VentureBeat
- 2021
GPT-3: We’re at the very beginning of a new app ecosystem
The GPT-3 Natural Language Processing model, created by the company open AI and released in 2020, is the most powerful of its kind, using a generalized approach to feed its machine learning algorithm in order to mirror human speech. The potential applications of such a powerful program are manifold, but this potential means that many tech monopolies may want to enter an “arms race” to get the most powerful model possible.
Should AI be able to imitate human speech unchecked? Should humans be trained to be able to tell when speech or text might be produced by a machine? How might Natural Language Processing cheapen human writing and writing jobs?
-
- 5 min
- Big Think
This video, narrated by science fiction author Ken MacLeod, explains how the cultural critiques presented in science fiction can be helpful in guiding inventors through how they might invent ethically, and what the primary societal concerns of a certain invention would be. Uses the example of robots as representative of labor issues to make the case that while science fiction plays a role in inspiring inventors and engineers, it should also lead them to question how technologies can be deployed ethically in different societal contexts.
- Big Think
-
- 5 min
- Big Think
How sci-fi helps humanity avoid species-level mistakes
This video, narrated by science fiction author Ken MacLeod, explains how the cultural critiques presented in science fiction can be helpful in guiding inventors through how they might invent ethically, and what the primary societal concerns of a certain invention would be. Uses the example of robots as representative of labor issues to make the case that while science fiction plays a role in inspiring inventors and engineers, it should also lead them to question how technologies can be deployed ethically in different societal contexts.
What steps need to be taken for science fiction to be taken more seriously as a predictor of technologies or a propædeutic to ethics? What narratives from this “age of singularity” could you point to as particularly prescient or useful for discussing ethical concerns?
: - Endgadget
- 2021
Article is an excerpt from book about the history of AI and the shift in AI research in 1990s from knowledge-based to context-based approaches to artificial intelligence.
- Endgadget
- 2021
- Endgadget
- 2021
Hitting the Books: The Brooksian revolution that led to rational robots
Article is an excerpt from book about the history of AI and the shift in AI research in 1990s from knowledge-based to context-based approaches to artificial intelligence.
- ZDNet
- 2021
Facebook’s use of biometrics to develop facial recognition came under scrutiny from those skeptical of users’ privacy protection. The company has just filed a $650 million settlement to close the lawsuit regarding this issue.
- ZDNet
- 2021
- ZDNet
- 2021
Judge approves $650m settlement for Facebook users in privacy, biometrics lawsuit
Facebook’s use of biometrics to develop facial recognition came under scrutiny from those skeptical of users’ privacy protection. The company has just filed a $650 million settlement to close the lawsuit regarding this issue.
What role do you think the government should play in establishing precedent for violations of privacy by technology companies?