Read Facial Recognition Technology, an Ethics Case Study
Read Dramatization or Falsification
Use the Case Analysis Template.html to shape your discussion board contributions about one or both cases.
Tips for success:
Use the question prompts to start a new thread and to keep the conversation organized
Keep responses relevant to the question
The purpose of the discussion is to identity and summarize the range of ethical concerns that might inform the ethical analysis.
Review the Assessment Rubrics.
Links:
https://www.scu.edu/ethics-in-technology-practice/case-studies/facial-recognition-technology/
https://mediaengagement.org/research/dramatization-or-falsification/
Case Analysis Template:
1. Introduction or Overview:
Facial Recognition Technology is a rapidly developing technology that has the potential to be widely used in various applications such as security, law enforcement and retail. This case study examines the ethical implications of using this technology and, in particular, how it might affect people’s right to privacy. Dramatization or Falsification discusses the ethical considerations when creating content for news media outlets that may involve dramatizing or falsifying events or facts in order to make them more appealing to viewers. It considers the implications on truth-telling and accuracy as well as freedom of expression.
2. Primary Ethical Issues/Questions:
Facial Recognition Technology – Is it ethically permissible for companies and governments to collect biometric data from individuals without their knowledge? How much control should individuals have over which facial recognition technologies can access their biometric data and for what purpose? Are there any limits when collecting personal information through facial recognition technology? Are there any limitations on how long this data can be stored for and by whom? Do existing laws provide adequate protection against misuse of this technology?
Dramatization or Falsification – A resolution could involve self-regulation by journalists/news organizations whereby standards regarding accuracy would be established before publishing stories; regular monitoring process put in place; steps taken towards public engagement so that views regarding accuracy issues can be heard; training programs developed wherein staff gets trained on fact checking processes; third party reviews done regularly etc..