How much "big data" should any enterprise be expected to absorb, monitor, analyze, and respond to? What happens, for example, when warning signs of possible product defects - or possible regulatory noncompliance issues - are "buried" in the flood of big data accessible by auto manufacturers, pharmaceutical companies, banks or similar data-infused enterprises? This workshop takes on this issue by exploring several real-world cases involving the ethics of data-awareness.
This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.
Learning Objectives
- Be apprised to the expansion of Big Data within major industries, including COVID-related healthcare.
- Differentiate between unintentional data breaches, such as security breaches, and such avoidable breaches as violation as violation of privacy protections.
- Gain an understanding of privacy protection based on a theory of trust as opposed to rules-based or content-based approaches.
- Review the trust-related elements of accountants' professional ethics.
- Consider real world cases that bring to light ethical considerations involving Big Data.
Major Topics
- Introduction: Big Data is Getting Bigger
- Ethical Implications of Big Data Getting Bigger
- Ethics of Big Data: Three Theories
- Trust Theory and the Duty to be Aware
- Rules Theory and the Duty to Monitor
- Cases
