ISYS6008: Ethics and socio-economic issues Individual Report Assignment Help
Question
ISYS6008: This is an individual report-based assignment which requires the students to highlight the ethical, social and economical problems pertaining to a case study. The case should be related to the innovation-related theme which was identified in Assignment 2, which is the previous part of this assessment. Additionally, the students should also elaborate on the accompanying risks concerning these technologies. The assignment also demands an action plan for resolving these issues which should incorporate policy level changes as well.
Solution
The solution incorporates a detailed report for a case study related to a lawsuit which was filed against Netflix. This innovation-related theme which is underscored in this case study is the ethical and socio-economic issues relating to the use of emotion analytical tools by the companies. The lawsuit was filed by the family of a teenager who attempted suicide, and her family alleged that this was influenced by the TV series ‘13 Reasons Why’.
The solution is structured into different sections- An Introduction, the overview of the case study, issues related to the case study which includes ethical, social, and economical issues, case outcome, and the opportunities and threats associated with the technology. The association between the case study and the innovation idea which was identified in assignment 2 is also highlighted, through which the ethical and socio-economic issues concerning the idea are also identified. This is followed by the measures which can be used to mitigate such issues and a brief conclusion.
The report begins with a brief introduction to the problem of emotion analytics-based recommendation systems. Our experts have provided a background to the report along with highlighting the purpose of conducting this case study based report.
Introduction
Technological innovations have revolutionized the promotional aspects utilized by brands to engage consumers. Use of Emotion analytics tools by firms, which utilize AI to equate data of facial expressions, texts and voices with emotions to generate data about consumer experience, is taking precedence (Wang, Wang & Xu, 2018). This has enabled businesses to maximize engagement by customizing brand promotional methods to the generated data. While profitability is engaged through these technological advancements which allow personalization of content, ethical and socio-economic issues remain prevalent pertaining to the use of such tactics.
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Next, our experts have written an overview to the case study to orient the reader towards the report. 50% of this part you can read below.
Case Study Overview
A lawsuit was filed on Netflix by the aggrieved family of a teenage girl on the premise of promotion of the show 13 Reasons Why which allegedly promulgated the 15-year-old girl’s death by suicide. The show depicted a series of events which deteriorated the mental health of the protagonist eventually leading to her committing suicide.
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Next part highlights the issues related to the case study. To assist the reader to clearly differentiate between the issues, our experts have written three subsections relating to the ethical, social and economic issues.
Ethical issue
In the case study, the promotion of suicidal content to a 15-year-old poses ethical concerns pertaining to age-inappropriate content dissemination. The targeted display of content promoting negative emotions is a result of the algorithm used by Netflix. Netflix uses emotion analytics to track consumer behavior pertaining to viewing trends and promotes content accordingly (Plummer 2017).
Social issue
One of the social issues identified is the aggregational impact promotion of negative content can have on the young viewers of Netflix. The emotion analytics-based recommendation system of Netflix promotes shows to users based on genre most viewed by the consumer which can propel continuous consumption of similar content. Studies have highlighted that negative content consumption can contribute to the deterioration of mental health in youth pertaining to depression, anxiety and suicidal thoughts (Lissak 2018).
Economic issue
Economic issue identified is the negative implication on brand promotion censorship imposes. The amendment of programming will negatively impact the promotion of not only 13 Reasons Why, but also other shows with content of teen suicide like Dead Poets Society, Dear Evan Hansen and Perks of Being a Wallflower
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Our experts also briefly point out what the outcome of the case study was, half of which you read below.
Outcome of the case
The case was dismissed by a federal judge and the basis of ruling was the protection of free speech. This is under California’s anti-SLAPP statute which compels the dismissal of claims that challenge protected speech (Code of Civil Procedure 2022).
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The next section points out the opportunities and threats associated with the use of f emotion recognition-based technologies. Keep reading to know more:
Opportunities
Emotions are the directing base for the mood of an individual and impact decision-making process of the consumer. Big data development has facilitated the enrichment of databases with facial, eye movement and voice recognition cues which are utilized to train AI models thereby increasing the accuracy of mood detection (Hossain & Muhammad 2019).
Risks
The majority of ERT is based on generalized emotion exhibition and even though accuracy has improved, the technology is yet not 100% accurate. Coded Bias documentary available on Netflix revealed that the technology of facial recognition fails to accurately detect individuals with darker skin tones (Albert 2021).
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As the assignment demands a correlation between the issues identified in the case study and the business innovation identified by the student, our experts have elaborated in detail about this.
Case study issues correlation with business innovation idea
The mood recognition-based recommendation system of the Viyo app encompassed in assessment 2 is similar to the emotion analytics-based recommendation system used by Netflix. Emotions form the basis of an individual’s mood as the emotive response to extrinsic or intrinsic stimuli triggers changes in the mood of an individual thereby directing the state of mood exhibited by the individual (Lopatovska 2014). The ethical issue highlighted pertaining to age-inappropriate content dissemination in the case study is also applicable for Viyo.
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The next section of the report comprises of the ethical and socio-economical impact of the innovation idea relating to the business. Our experts have discussed the issues relating to the emotions recognition-based recommendation system of the Viyo app comprehensively.
Ethical issues
Mood recognition focuses on detection of emotional state of an individual on the basis of facial expressions. The use of facial recognition technology has ethical concerns associated with it pertaining to privacy and potential data theft (Roundtree 2021).
Social issues
Viyo app consists of media recommendations pertaining to movies, series and news items which are personalized in accordance to the consumer.
Economic issues
The subscription-based payment model for Viyo has implications pertaining to initial consumer avoidance of commitment propelling uncertain revenue acquisition in startup phase (Freed et al. 2022).
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In order to the reduce and deal with these challenges, the solution incorporates some measures. Some of the mitigation measures proposed by our experts are provided here.
Mitigation measures
Some measures to alleviate the ethical and socio-economic concerns associated with the business innovation idea are:
- Incorporate a robust authentication system to improve the security of the application. This reduces the threat of potential data theft and protects the privacy of the consumers (Qiu, Dai & Hayes, 2020).
- Invest in research and development to improve the design and training of the system in order to reduce algorithmic biases and improve efficiency of the emotion recognition technology (Amini et al. 2019).
- Improve transparency pertaining to data utilization to appease consumer concerns regarding data storage and utilization.
- Incorporate mechanism to receive consent from the user before the storage or utilization of data as part of transparency initiative (De Laat 2018).
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The last part constitutes a short conclusion to the IT entrepreneurship and business report.
Conclusion
Concluding the report, an overview of ethical and socio-economic issues associated with business innovations that utilize emotion recognition technology was acquired. The evaluation derived from the legal case study highlighted the detrimental impact ERT based recommendation system can have on unsupervised youth.
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