Artificial Intelligence and Responsible Innovation

30 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

CTRL: A Conditional Transformer Language Model for Controllable Generation (2019, background): “(2019), among others, have argued artificial intelligence has such an omni-use character and have suggested governance policies emerging from the responsible innovation literature (Brundage, 2016).”
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence (2019, background): “The question of whether and why we should create general AI is a complicated one and is the focus of many articles [143, 41, 4, 18, 15].”
Institutionalizing ethics in AI through broader impact requirements (2021, background): “While few contest that there exists a real need to identify and address ethical and societal challenges from AI, the diversity in reactions illustrates that there is little consensus on the right approach, nor on what the responsibilities of individual researchers or the research community (includin”
Pretrained AI Models: Performativity, Mobility, and Change (2019, background): “The growing responsible innovation literature within science and technology studies [86] has been discussed in relation to AI by Brundage [10, 12], but these self-regulation actions are seemingly not informed by understanding the position of pretrained models that emerges from treating them as…”