The National Academies Press

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Pages 101-105

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From page 101... ... These interlocking questions of amplification and restriction lead to important problems for the computing research community. Even with agreement on general principles for the allocation of user attention, there is only limited understanding of how ranking algorithms and user interface design serve to create the social feedback loops that drive user attention.168 For content moderation, though there may be agreement that platforms are not simply pipes through which information flows, notably, unlike with privacy, there is not such agreement on what kinds of information should or should not be allowed to spread. Read the entire page →
From page 103... ... and machine learning, computer security, and human–computer interaction -- have encountered these issues earlier than others, and their experiences are instructive for the entire computing research community. This chapter recommends initial practical steps toward ensuring that ethical and societal consequences of computing research are more fully considered and addressed and its obligations to support human flourishing, thriving societies, and a healthy planet are fulfilled. Read the entire page →
From page 105... ... Recommendation 4 complements Recommendation 3 by identifying ways computing research institutions along with research sponsors and scientific and professional societies can provide computing researchers with access to scholars and scholarship in ethics and social and behavioral sciences. Recommendations 5 and 6 focus on the two key actors in the computing ecosystem who vet computing research and can assess whether particular efforts adequately address ethical and societal impacts, namely research sponsors and scholarly publishers. Read the entire page →

From page 101...

... These interlocking questions of amplification and restriction lead to important problems for the computing research community. Even with agreement on general principles for the allocation of user attention, there is only limited understanding of how ranking algorithms and user interface design serve to create the social feedback loops that drive user attention.168 For content moderation, though there may be agreement that platforms are not simply pipes through which information flows, notably, unlike with privacy, there is not such agreement on what kinds of information should or should not be allowed to spread.

Read the entire page →

From page 103...

... and machine learning, computer security, and human–computer interaction -- have encountered these issues earlier than others, and their experiences are instructive for the entire computing research community. This chapter recommends initial practical steps toward ensuring that ethical and societal consequences of computing research are more fully considered and addressed and its obligations to support human flourishing, thriving societies, and a healthy planet are fulfilled.

Read the entire page →

From page 105...

... Recommendation 4 complements Recommendation 3 by identifying ways computing research institutions along with research sponsors and scientific and professional societies can provide computing researchers with access to scholars and scholarship in ethics and social and behavioral sciences. Recommendations 5 and 6 focus on the two key actors in the computing ecosystem who vet computing research and can assess whether particular efforts adequately address ethical and societal impacts, namely research sponsors and scholarly publishers.

Read the entire page →

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