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Write an essay on the ethical...
Write an essay on the ethical and societal implications of AI, focusing on a specific case study (e.g., bias in facial recognition technology).Your essay should be 2-3 pages in length, not including...
1 answer below »
Assessment 3: 3A and 3B Assessment type: Group project - Presentation and Report (2,000 words) Purpose: The purpose of this assessment is that students will learn about different topics relevant to data analytics by carrying out research and also by listening to presentations made by their peers. This assessment contributes to learning outcomes b, c and d Value: Total 60% (Presentation 25%, Report 35%) Due Date: Weeks 11 – 12 Assessment topic: Students to select a data source and suggest a topic of analysis for that data source. Tutors to approve the topic before students proceed with further data preparation and analytics Students will work in groups (minimum 3 and maximum 4 students in each group). The first step will be to identify a data set from one of the publicly available data sets and present the summary of some of target models in Descriptive and Predictive Analytic layers to the tutor for approval. Once approved by their tutor, they will further define the research questions and prepare the data using consolidation and reduction if needed. Next, they will select one of the analytical tools (e.g. Excel, Tableau, Rapid Miner) and apply analytical methods for generating novel findings and draw insights from this data set. These outcomes need to be presented using visualisation models and also need to be explained in a detailed report. Students will present their findings as a group during tutorial sessions in week 11 for a duration of 10-15 mins per group. Tutors will provide feedback on their findings and students will then need to update their findings to reflect this feedback in their group report. Submission of a group report will be due in Week 10. This will be 2,000 words report excluding references and executive summary
https1-2celwaic-g0n5uc1x.docx
Answered Same Day
Oct 03, 2024
Solution
Robert
answered on
Oct 04 2024
3
Votes
3
The Ethical and Societal Implications of AI: A Case Study of Bias in Facial Recognition Technology
(Student Name Here)
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(Date Paper Written)
Introduction
AI systems has increased influence on societal functions, ethical and societal concerns. The concern is the issue of bias in AI especially in facial recognition technology. It has been found to disproportionately misidentify individuals based on race, gender and age. The study examines ethical and societal implications of AI. This includes focusing on bias present in facial recognition technology and the way it affects public trust, privacy and social equity.
Background on AI and Facial Recognition
AI is embedded in different sectors of society including security, public surveillance and healthcare. The prominent applications of AI are facial recognition technology that is used to identify and verify individuals through facial features. Governments and businesses use facial recognition for purposes like law enforcement, border control and retail security. Facial recognition technology is operated using analysing facial patterns and comparing it with existing databases (Smith & Miller, 2022). The accuracy of the systems is based on the quality and diversity of data used for training. The facial recognition systems can have higher e
or rates in identifying women, people of colour and some age groups. It is trained on biased datasets that unde
epresent the populations.
Ethical Implications of AI and Facial Recognition
The ethical concerns with facial recognition are bias and discrimination. Facial recognition algorithms are less accurate in identifying individuals with darker skin tones, women and younger and older people. These disparities can lead to discriminatory practices that can have marginalized groups face that can...
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