| dc.contributor.author | Knox, Benjamin James | |
| dc.contributor.author | Sütterlin, Stefan | |
| dc.contributor.author | Lugo, Ricardo Gregorio | |
| dc.date.accessioned | 2023-03-16T09:49:46Z | |
| dc.date.available | 2023-03-16T09:49:46Z | |
| dc.date.created | 2023-02-24T10:15:19Z | |
| dc.date.issued | 2023 | |
| dc.identifier.isbn | 9781839106743 | |
| dc.identifier.uri | https://hdl.handle.net/11250/3058677 | |
| dc.description.abstract | Artificial Intelligence (AI) is a catalyst for innovation activity. This chapter looks at developers and entrepreneurs as key human actors forming a performance triad with the AI. Successful exploitation of AI capabilities in entrepreneurial contexts requires humans to successfully collaborate, prevent communication errors and maintain control over the AI. To achieve this, human enablers require cognitive agility. This skill is founded upon metacognition and relies on heightened domain cognisance and the ability to govern one’s own actions. These attributes can be trained through adaptive non-standards based forms of education. Failure to develop the necessary human factor attributes risks increasing the likelihood of compromising the triad and the catalytic effect of AI. Developing cognitive expertise can mitigate ethical issues, power imbalances, bias, and adversarial factors that present significant challenges to technological solutions. | en_US |
| dc.description.abstract | Cognitive agility for improved understanding and self-governance: a human-centric AI enabler | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Edward Elgar Publishing | en_US |
| dc.relation.ispartof | Cover Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship | |
| dc.title | Cognitive agility for improved understanding and self-governance: a human-centric AI enabler | en_US |
| dc.title.alternative | Cognitive agility for improved understanding and self-governance: a human-centric AI enabler | en_US |
| dc.type | Chapter | en_US |
| dc.description.version | submittedVersion | en_US |
| dc.identifier.doi | 10.4337/9781839106750.00019 | |
| dc.identifier.cristin | 2128820 | |
| dc.relation.project | Norges forskningsråd: 302941 | en_US |
| cristin.ispublished | true | |
| cristin.fulltext | preprint | |
| cristin.qualitycode | 2 | |
