Exploring Ethical Dilemma in Big Data Analytics
Ethical Dilemmas in the Age of Big Data: Balancing Innovation with ...
Big Data Ethics specifies guidelines and principles revolving around the handling of data so that the benefits of data-driven innovation are not ...
5 Ethical Issues in Technology to Watch for in 2024 | CompTIA
Data is undoubtedly something of value for businesses. It allows companies to target their marketing strategies and refine product offerings, ...
Vol. 3 No. 3 (2024): Exploring Ethical Dilemmas in Artificial ...
Articles in this issue will scrutinize issues such as algorithmic bias and fairness, privacy concerns in data-driven decision-making, the ...
What is data ethics? | Cognizant
It includes addressing and recommending concepts of right and wrong conduct, with transparency in and defensibility of actions and decisions driven by automated ...
K. T. Y. Leung, A. Dembicz, and A. Stevenson, “Exploring Ethical Dilemma in Big Data Analytics: A Literature Review”, Technium, vol. 2, no. 5, pp. 43–48, Jun.
Working paper 12 - Ethical Dilemmas of Using Big Data in Social ...
Subsequently, it discusses three fundamental dilemmas facing social welfare in the digital era: dilemmas between Assessment vs. Analysis; Data ...
Data Ethics: Informed Consent and Data in Motion - Causeit, Inc.
Analytics can uncover information previously unavailable: it's already possible, in some cases, for governments to use big data analytics to discover crimes ...
The Importance of Ethics in Big Data: Ensuring Responsible Use ...
Another ethical concern is the possibility of prejudice and discrimination in big data analysis. Society's inequality may be perpetuated ...
Ethical Considerations in Big Data - Fiveable
Ethical guidelines are crucial to ensure responsible use of big data while protecting individual rights and preventing harm. Key principles in data analytics ...
BALANCING DATA PRIVACY AND ETHICS IN THE AGE OF BIG ...
This research paper embarks on a journey to explore the multifaceted dimensions of data privacy and ethics. It scrutinizes the challenges posed by data ...
The Danger of Big Data Explained - ITChronicles
In addition to the security and privacy risks, big data also presents ethical dilemmas. The collection and analysis of large-scale data raise ...
AI Ethics Debates: Exploring Complex Ethical Dilemmas in AI
By conducting an in-depth analysis of data independence and confidentiality, as well as the dangers of algorithmic bias, ESDST's multidisciplinary methodology ...
Protecting One's Own Privacy in a Big Data Economy | Harvard Law
While individuals have a moral responsibility to protect their own privacy, Big Data represents a challenge that points to the need for collective and ...
Five Ethical Issues in the Big Data Analytics Age - Academia.edu
This research identifies and discusses the major ethical themes applicable to big data analytics from past literature. It described ethical questions to ...
Colloquium explores ethical dilemmas arising from the use of AI and ...
Colloquium explores ethical dilemmas arising from the use of AI and Big Data in research · AI, bias and 'WEIRD' science · AI creates its own truth.
Big Data Ethics: A Life Cycle Perspective - Erasmus Law Review
To interrogate the morality of big data use along the various stages of a data life cycle we adopt a 'lawyerly' mode of ethical reasoning that is ethically ...
explored by stakeholders1 and assessment frameworks should be ... 14 Data protection guidance often raises the issue of proportionality. Those ...
Ethical Considerations in Utilizing Big Data for HR Analytics
However, with the power of big data comes ethical considerations. With the potential to infringe on employee privacy and transparency, ...
Building Trust in Fintech: An Analysis of Ethical and Privacy ... - MDPI
However, the integration of AI and big data also brings forth ethical and privacy concerns, encompassing issues of bias, discrimination, privacy ...
Digital Sustainability: Exploring ethical challenges and opportunities ...
This research strand explores the ethical aspects and implications in relation to the environmental sustainability of digital, AI and data driven ...