
doi: 10.17705/2msqe.00063
Though companies are building artificial intelligence (AI) systems and integrating them into business operations, executives are concerned about AI’s distinctive challenges (e.g., opacity) and seeking to develop new capabilities in response. We describe a new AIX explanation capability that companies must establish before their AI initiatives can thrive. This capability has four dimensions: decision tracing, bias remediation, boundary setting and value formulation. Together, these dimensions help organizations to address the challenges of model opacity, model drift, acting mindlessly and the unproven nature of AI
Economics and Econometrics, 2002 Economics and Econometrics
Economics and Econometrics, 2002 Economics and Econometrics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
