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1 Running head: MODULE 2 WRITING ASSIGNMENT CS63870H123 Artificial Intelligence Module 2 Writing Assignment Neelesh Reddy Jakkamreddy Campbellsville University

2 MODULE 2 WRITING ASSIGNMENT Is AI violating your privacy AI has quickly been ingrained in our society, bringing about revolutionary changes in a variety of fields while also improving our day-to-day experiences. Concerns regarding privacy breaches have surfaced, however, as the power and capabilities of AI continue to grow at an exponential rate (Högberg, Larsson & Lång, 2023). Although AI may not in and of itself necessarily breach users' privacy, the manner in which it is developed, implemented, and used may have substantial bearings on individuals' right to private. This brings up some very serious problems about the ethical and legal considerations that go into the creation and application of AI. In this quickly changing digital world, artificial intelligence (AI) systems often depend on large volumes of personally identifiable data to train their algorithms and produce accurate predictions. These data may infringe privacy if not collected, processed, and analyzed properly. Additionally, the capability of artificial intelligence to develop in-depth profiles of people and target them with customised material or adverts raises worries about the possibility for breach of privacy as well as potential for manipulation (Högberg, Larsson & Lång, 2023). AI technologies like facial recognition and surveillance systems may infringe privacy. These technologies' monitoring and tracking capabilities might breach people's privacy if they aren't controlled, open, and permitted. AI is becoming more incorporated into the activities that we do on a regular basis, such as providing tailored suggestions on streaming platforms and installing voice assistants in our homes. On the other hand, the integration of these systems raises issues over the possible breach of privacy. The Capabilities of AI

3 MODULE 2 WRITING ASSIGNMENT AI systems are intended to analyze enormous volumes of data, recognize patterns within that data, and then base their forecasts or choices on that knowledge. Despite the fact that these capabilities make our lives easier and provide more tailored experiences, they also put our privacy at danger. Data Collection and Surveillance The acquisition of personally identifiable information is a vital component of many applications that make use of AI, which depends significantly on data. After that, these data are sent into AI training algorithms, where they are utilized to hone suggestions and improve user experiences (Gaudet, 2022). However, personal data collection and storage present privacy concerns. Cities, airports, and malls are also using AI-powered surveillance systems. Face recognition and other forms of biometric technology are used by these systems in order to monitor and keep track of persons. Concerns are raised over the possibility of abuse or exploitation of personal information, as well as continuous monitoring, despite the fact that these technologies may improve safety and assist reduce the incidence of crime. Algorithmic Bias and Discrimination The data that AI systems are trained on may include biases, and the algorithms themselves are not immune to these biases. For instance, in employment procedures that utilize AI systems to screen resumes, prejudices may be perpetuated if the data used to train the algorithm is prejudiced against specific demographics. This can happen if the data used to train the algorithm is skewed against certain groups. Thus, race, gender, and other protected traits may be discriminated against. These incidents highlight artificial intelligence's ethics and effects on privacy and justice (Gaudet, 2022). Invasion of Digital Privacy

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4 MODULE 2 WRITING ASSIGNMENT AI algorithms often examine our digital footprints, which might include our internet searches, social media postings, and browser history, among other digital traces. This data creates user profiles, targets ads, and customizes content. Although this might make our digital experiences better, there is a risk that it could also invade our digital privacy, and this raises some worries (Gaudet, 2022). The use of AI does not automatically compromise users' privacy. . AI systems, in particular those that entail the collecting, processing, and analysis of data, might offer dangers to users' privacy if they are not developed and deployed with privacy in mind throughout the development process. Here are a few ways in which AI could potentially impact privacy Artificial intelligence systems often need for a substantial quantity of data in order to educate and perfect their algorithms. It is possible for these technologies to cause breaches of privacy if they acquire personal data without the appropriate permission or anonymization. Algorithms used in AI are able to examine huge volumes of data in order to draw conclusions and make forecasts. This analysis might include the processing of personal information, which must be managed carefully to guarantee that individuals' privacy is preserved. Systems that are driven by AI are able to construct profiles of people based on the behavior, preferences, or traits of those persons. If these profiles are used to target people with individualized adverts or information, it might raise issues about privacy as well as the possibility of being manipulated (Mutascu & Hegerty, 2023). If they are put into use without the necessary protections, monitoring, or permission, artificial intelligence technologies like face recognition and surveillance cameras have the potential to violate individuals' right to privacy. This comprises the use of privacy-preserving strategies to restrict the gathering and use of personal information. Some examples of these approaches are data reduction,

5 MODULE 2 WRITING ASSIGNMENT anonymization, and encryption. Get permission from people whose data is being gathered and processed by AI systems, and make sure it's informed consent. Make sure individuals understand the goals and extent of data usage and can manage and interpret it. Comprehensive security measures should prevent unauthorized access, data breaches, and improper use of personal information. This involves encrypting the data, controlling who may access it, and doing frequent audits to verify that privacy requirements are being followed. It is important to build a set of ethical rules and principles before moving forward with the creation and usage of AI systems (Mutascu & Hegerty, 2023). In order to guarantee that appropriate AI practices are followed, these standards should address issues around privacy, fairness, and responsibility. Maintaining compliance with these standards contributes to the protection of the privacy rights of persons and guarantees the proper use of AI technology. Despite privacy concerns, AI does not inherently compromise users' privacy. Developers and organizations must ensure that AI systems are built, implemented, and used in a manner that respects privacy rights and choices. It is possible to use AI to help society while still safeguarding individuals' privacy if appropriate protections and ethical issues are taken into account.

6 MODULE 2 WRITING ASSIGNMENT References Högberg, C., Larsson, S., & Lång, K. (2023). Anticipating Artificial Intelligence in Mammography Screening: Views of Swedish Breast Radiologists. BMJ Health & Care Informatics ESSENCE: The e-Science Collaboration, 30(1), 1–8. https://doi.org/10.1136/bmjhci-2022-100712 Gaudet, M. J. (2022). An Introduction to the Ethics of Artificial Intelligence. Journal of Moral Theology, 11, 1–12. Mutascu, M., & Hegerty, S. W. (2023). Predicting the contribution of artificial intelligence to unemployment rates: an artificial neural network approach. Journal of Economics & Finance, 47(2), 400–416. https://doi.org/10.1007/s12197-023-09616-z

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