Improving trust in data and algorithms in the medium of AI
Artificial Intelligence (AI) has great potential to solve a wide spectrum of real-world business problems, but the lack of trust from the perspective of potential users, investors, and other stakeholders towards AI is preventing them from adoption. To build and strengthen trust in AI, technology cre...
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| Format: | Article |
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Pensoft
2020-04-01
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| Series: | MAB |
| Online Access: | https://mab-online.nl/article/49425/download/pdf/ |
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doaj-b64af49caf0d498e961dae665643ee202021-10-01T08:38:01ZengPensoftMAB2543-16842020-04-01943/414716010.5117/mab.94.4942549425Improving trust in data and algorithms in the medium of AIAditya Vasan Srinivasan0Mona de Boer1TU DelftPwCArtificial Intelligence (AI) has great potential to solve a wide spectrum of real-world business problems, but the lack of trust from the perspective of potential users, investors, and other stakeholders towards AI is preventing them from adoption. To build and strengthen trust in AI, technology creators should ensure that the data which is acquired, processed and being fed into the algorithm is accurate, reliable, consistent, relevant, bias-free, and complete. Similarly, the algorithm that is selected, trained, and tested should be explainable, interpretable, transparent, bias-free, reliable, and useful. Most importantly, the algorithm and its outcomes should be auditable and properly governed.https://mab-online.nl/article/49425/download/pdf/ |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Aditya Vasan Srinivasan Mona de Boer |
| spellingShingle |
Aditya Vasan Srinivasan Mona de Boer Improving trust in data and algorithms in the medium of AI MAB |
| author_facet |
Aditya Vasan Srinivasan Mona de Boer |
| author_sort |
Aditya Vasan Srinivasan |
| title |
Improving trust in data and algorithms in the medium of AI |
| title_short |
Improving trust in data and algorithms in the medium of AI |
| title_full |
Improving trust in data and algorithms in the medium of AI |
| title_fullStr |
Improving trust in data and algorithms in the medium of AI |
| title_full_unstemmed |
Improving trust in data and algorithms in the medium of AI |
| title_sort |
improving trust in data and algorithms in the medium of ai |
| publisher |
Pensoft |
| series |
MAB |
| issn |
2543-1684 |
| publishDate |
2020-04-01 |
| description |
Artificial Intelligence (AI) has great potential to solve a wide spectrum of real-world business problems, but the lack of trust from the perspective of potential users, investors, and other stakeholders towards AI is preventing them from adoption. To build and strengthen trust in AI, technology creators should ensure that the data which is acquired, processed and being fed into the algorithm is accurate, reliable, consistent, relevant, bias-free, and complete. Similarly, the algorithm that is selected, trained, and tested should be explainable, interpretable, transparent, bias-free, reliable, and useful. Most importantly, the algorithm and its outcomes should be auditable and properly governed. |
| url |
https://mab-online.nl/article/49425/download/pdf/ |
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AT adityavasansrinivasan improvingtrustindataandalgorithmsinthemediumofai AT monadeboer improvingtrustindataandalgorithmsinthemediumofai |
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