Detecting fairness issues - Does my model discriminate? Human-AI cooperation - How can I understand and trust the model's decisions? Regulatory compliance - Does my model satisfy legal requirements? High-risk applications - Healthcare, finance, judicial, ... ...
LIME:Ribeiro, Marco Tulio, Sameer Singh, and Carlos Guestrin. "Why should i trust you?: Explaining the predictions of any classifier." Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2016. ...
Issues such as privacy and security could seriously hamper public trust in the Internet of Things. [PDF] Internet of Things: Privacy & Security in a Connected World: The US FTC urged a focus on user concerns like privacy and security in this 2013 report. Internet of things: making the ...
This paper addresses some of these issues further. At the time when the general population tariff was estimated, it was not possible to simultaneously account for the fact that groups of valuations came from the same respondent and the truncated nature of the data. In addition, the dataset cont...
Answer to: Define data and information, and explain each of their importance to managers. With an example, differentiate data and information. By...
Why is data mining used in business? Should all organizations try to analyze big data? Why or why not? What management, organization, and technology issues should be addressed before a company decides to work with big data? Define and describe normalization and referential integrity, and ex...
In addition to protecting external security issues, we also need to always pay attention to IT operation and maintenance security issues such as corporate identity, authority, and assets. A survey shows that more than half of corporate network security incidents are not caused by external attacks,...
Thus, the regulation may result in long-term economic distortions. Ultimately, we acknowledge that dividend-and-transparency regulations are unlikely to fully address the underlying issues in market and legal institutions. 2. Institutional background and hypotheses 2.1. Investor protection in the Chinese...
Conclusions Our findings show how set visualisation reveals important insights about multifield missing data patterns in large EHR datasets. The study revealed both rare and widespread data quality issues that were previously unknown, and allowed a particular part of a specific hospital to be pinpoint...
This paper aims to establish a theoretical account of how Bourdieu's concepts of field, capital and habitus can be deployed in energy transition, which provides insights into issues of power with regard to social inequality and social reproduction. Bourdieu offers a comprehensive framework to ...