ChatGPT 1 - Stage 1: Playing and Brainstorming

1 ChatGPT 1 -Stage 1: Playing and Brainstorming Mount Royal University GNED 1303-003: Conflict and the Social Context Jennifer Solinas October 7th, 2024 ChatGPT 1 - Jasmiona: Stage 1: Playing and Brainstorming Group Rules: - Every member is expected to contribute equally by completing their assigned tasks. - Attend all scheduled meetings on time. 2 - Stay in touch and communicate in the group chat at least one week in advance regarding meeting times, locations, and duration. - Put in 100% effort when completing your assigned tasks—no cutting corners. - Avoid leaving tasks until the last minute; work steadily to meet deadlines. - Offer help to team members whenever needed to ensure overall success. First Topic: Our Group’s Focus on Facial Recognition Technology For our first topic, we were particularly intrigued by the topic of facial recognition technology due to its growing prominence and the significant impact it has on personal data privacy. We were drawn to this topic because facial recognition is increasingly being integrated into various online security systems, from social media platforms and unlocking phones to banking applications. This in our mind raises critical concerns about privacy and security. We are particularly curious about what happens to our privacy when we engage with these systems by sharing our facial data. When we provide access to our facial biometrics, how is that information handled and what are the potential risks for our personal data? It is fascinating to us how a tool designed to strengthen safety can also pose risks if not managed properly. First Topic Exploration With our topic in mind, we began the process of developing a research topic and formulating solid research questions using ChatGPT. We already had a topic that we were interested in from the outset, so we used that as a foundation to pose questions to ChatGPT. Initial Research Topic: Evaluating the Impact of Facial Recognition Technology and the Significant Impact it has on Personal Data Privacy. 3 We had initially drafted out a research topic ourselves but we felt that it was a bit too long, complicated, and somewhat double-barreled. So, we asked ChatGPT to help refine the topic and add more detail. Conversation with ChatGPT: Us: Make this research topic a bit more detailed and not double-barreled → Evaluating the Impact of Facial Recognition Technology and the Significant Impact it has on Personal Data Privacy. ChatGPT: Here's a more detailed and focused version of your research topic: "Evaluating the Impact of Facial Recognition Technology on Personal Data Privacy in Digital Security Systems" Us: We want to know what happens with facial recognition technology, what happens to our privacy when we are using facial recognition and giving away our face. ChatGPT: Here's a more precise version that captures the concern about privacy and the implications of using facial recognition technology: "Exploring the Privacy Risks of Facial Recognition Technology: What Happens to Personal Data When We Share Our Facial Biometrics" Us: Make it not double-barreled. ChatGPT: Exploring the Privacy Risks of Sharing Facial Biometrics in Facial Recognition Technology We were satisfied with this research topic suggested by ChatGPT in the end, but we felt it needed better wording. So, we asked it to refine the phrasing. Conversation with ChatGPT: Us: Word it a bit differently. 4 ChatGPT: Examining the Privacy Risks Associated with Sharing Facial Biometrics in Facial Recognition Technology First Research Topic: Examining the Privacy Risks Associated with Sharing Facial Biometrics in Facial Recognition Technology This is the research topic we decided to go with. After asking ChatGPT to refine it multiple times, we were all happy with the result. We liked this research topic because it clearly highlights the privacy issues related to using facial recognition and the risks of sharing our facial data. It gives us the chance to look closely at how this technology impacts our personal information and security. We also like how the wording of the research topic was not too complicated; it is simple and straightforward, making it easy to understand what we want to explore in our research. With this research topic, we then asked ChatGPT to give us 3 non-double-barreled research questions. We asked for 3 questions so we could see the list of questions it gave us and then from there pick and choose one that stood out the most. Conversation with ChatGPT: Us: Give us 3 non-double barreled research questions based on this research topic: Examining the Privacy Risks Associated with Sharing Facial Biometrics in Facial Recognition Technology ChatGPT: 1. How does the use of facial recognition technology impact the security and privacy of personal biometric data? 2. What privacy risks are associated with the storage and sharing of facial biometrics by organizations using facial recognition systems? 5 3. In what ways can facial recognition technology lead to potential misuse or unauthorized access to personal data? We liked the research questions that ChatGPT provided us, as they effectively addressed important aspects of our topic. However, we felt that they could be clearer and more focused. So, we asked ChatGPT to refine them further. Conversation with ChatGPT: Us: These 3 questions can be clearer and more focused so refine them. Chat GPT: 1. How does facial recognition technology affect the security and privacy of personal biometric data? 2. What privacy risks arise from the storage and sharing of facial biometric data by organizations using facial recognition systems? 3. How can facial recognition technology be misused or lead to unauthorized access to personal data? We wanted to see if there was a way ChatGPT could combine all these questions into one question so we asked it to do exactly that. Conversation with ChatGPT: Us: Can you combine all these questions into one research question without it being double-barreled? ChatGPT: How does the use of facial recognition technology impact the security, privacy, and potential misuse of personal biometric data, particularly in relation to the storage and sharing practices of organizations? Us: Are you able to shorten it and make it more focused? 6 ChatGPT: How does facial recognition technology affect the privacy and security of personal biometric data? Us: Make it detailed still ChatGPT: How does facial recognition technology impact the privacy, security, and potential misuse of personal biometric data, particularly regarding its storage and sharing by organizations? At this point, as much as we asked ChatGPT to refine the question into a non-double barrel question, it kept giving us a double-barreled question. We thought maybe we were trying to squeeze in too many details into one question and we got a little stuck. We asked ChatGPT to slightly rephrase this question to emphasize the risks aspect even more. Conversation with ChatGPT: Us: Can you rephrase the question to emphasize the risks aspect from our research topic more? ChatGPT: How does facial recognition technology impact the privacy risks associated with the storage and sharing of personal biometric data by organizations? Us: I like this but make it a non-double-barreled question: How does facial recognition technology impact the privacy risks associated with the storage and sharing of personal biometric data by organizations? ChatGPT: What privacy risks are associated with the storage and sharing of personal biometric data in facial recognition technology? We decided to alter the question a little bit ourselves to make it how we wanted as ChatGPT kept giving us double-barreled questions. 7 First Research Question: What privacy risks does facial recognition technology pose for personal biometric data, especially concerning its storage by organizations? This is the final research question we came up with, with the help of ChatGPT. We believe this is a strong research question because it directly addresses the privacy risks associated with the storage and sharing of personal biometric data in facial recognition technology. It aligns well with our research topic, which focuses on evaluating how this technology impacts personal data privacy. This question allows us to dig deeper into the specific challenges individuals face, such as unauthorized access and potential misuse of their biometric information. Second Topic: Our Groups Focus on Social Media’s Security Our group was also particularly interested in the topic of social media security because it is something we all deal with every day. Social media plays a significant role in our lives, yet most of us are unaware of how much personal information is collected or how companies use it. With growing concerns about data breaches and privacy scandals, we wanted to explore the risks involved and understand how to better protect ourselves. This topic raises important ethical questions about how social media companies handle user data. As young adults who frequently share personal information online, we recognize the increasing risk of identity theft and privacy violations. By diving deeper into how social media platforms operate and what steps users can take to safeguard their privacy, we aim to gain a better understanding of the importance of security in the digital age. Second Topic Exploration: 8 With our topic in focus, we started working on refining a research question and shaping a clear direction for our study, using ChatGPT as a resource. Since we had an initial interest in social media security, we built upon that to brainstorm and develop meaningful questions. ChatGPT helped us take our initial ideas and transform them into a well-defined research topic and questions, allowing us to better explore the subject and guide our investigation from the beginning. Conversation with ChatGPT: Us: Make this research topic a bit more detailed and not double-barreled based on, Evaluating focus on social medias security ChatGPT: "Assessing the Effectiveness of Privacy and Security Measures on Social Media Platforms" Us: Give multiple examples with more detail and make sure they are not doublebarreled. ChatGPT: 1) Evaluating the Effectiveness of Privacy and Security Features on Social Media Platforms for Protecting User Data This research topic focuses on analyzing how well different social media platforms implement security measures such as encryption, two-factor authentication, and privacy settings to protect user information. 2) Assessing User Awareness and Adoption of Security Measures on Social Media Platforms 9 This research explores how knowledgeable users are about security options available on platforms like Facebook, Instagram, and TikTok, and examines the extent to which they utilize these features to safeguard their data. 3) Examining the Impact of Data Breaches on Social Media Platforms and User Trust This topic investigates how data breaches on platforms affect users' trust in social media companies and what security measures are implemented post-breach to restore confidence and improve protection. After asking ChatGPT, to refine and edit a better research topic: ‘Assessing User Awareness and Adoption of Security Measures on Social Media Platforms.’ stuck out to us although we believed we could have a more fluent research topic so we decided to converse with ChatGPT more deeply. Conversation with ChatGPT: Us: provide a deeper and more profound research topic based on social media security that is better refined and understandable to readers through the research topic . ChatGPT: "A Comprehensive Analysis of Social Media Security: Evaluating User Data Protection, Privacy Practices, and the Role of Emerging Technologies" Us: make sure it is not double-barreled ChatGPT: "Evaluating the Effectiveness of Data Protection Measures on Social Media Platforms" 10 Second Research Topic: "Evaluating the Effectiveness of Data Protection Measures on Social Media Platforms" In our digital age, privacy is a major concern. The research topic "Evaluating the Effectiveness of Data Protection Measures on Social Media Platforms" responds to these issues by providing straightforward details into the manner in which social media platforms safeguard user data and educating users about potential risks and precautions to take. This research topic will investigate the methods social media platforms use to secure user information, focusing on tools like data encryption, authentication, and as well as user privacy controls. The intention of this research topic is to educate readers and ourselves about the effectiveness and shortcomings of these security strategies, as well as to provide practical advice for enhancing their personal data protection on social media. Following the selection of this research topic, we requested ChatGPT to generate three distinct research questions that do not combine multiple issues. We chose to ask ChatGPT for three questions to review the options presented and select the one that resonated the most with us. Conversation with ChatGPT: Us: Give us 3 non-double barreled research questions based on this research topic: "Evaluating the Effectiveness of Data Protection Measures on Social Media Platforms" ChatGPT: Here are three non-double-barreled research questions based on the topic "Evaluating the Effectiveness of Data Protection Measures on Social Media Platforms": 11 1. How effective are encryption methods in protecting user data on social media platforms? 2. What role does two-factor authentication play in enhancing user security on social media sites? 3. How do privacy settings impact user awareness and control over their personal information on social media platforms? The research questions generated by ChatGPT were insightful, touching on key points of our topic. While we appreciated the direction they provided, we believed they needed a sharper focus and more clarity. To improve their precision, we asked ChatGPT to revise and fine-tune the questions further. Conversation with ChatGPT: Us: revise and fine tune the questions further to make the questions more interesting. ChatGPT: Here are three fresh and improved research questions related to the topic of data protection measures on social media platforms: 1. What are the limitations of current encryption practices in ensuring user privacy on social media platforms? 2. How does the implementation of two-factor authentication affect the incidence of account breaches on social media? 3. What factors influence users' decisions to adjust their privacy settings on social media platforms, and how do these adjustments impact their data security? 12 We believe that the third research question provided by ChatGPT was a question that many people would be intrigued by, although we believe that it lacks some depth. So we asked ChatGPT to help add depth and interest to that question, in order to conclude the final research question. Conversation with ChatGPT: Us: keep the third research question provided 'What factors influence users' decisions to adjust their privacy settings on social media platforms, and how do these adjustments impact their data security?' although add some depth, interest, and excitement to the question ChatGPT: What psychological and social factors drive users to modify their privacy settings on social media platforms, and how do these adjustments affect their overall data security and online experience? We found this research question to be both engaging and thought-provoking, but we recognized that it was double-barreled and overly complex. Therefore, we decided to ask ChatGPT for help in refining it while still maintaining its focus on the core topic. Conversation with ChatGPT: Us: rephrase the research topic 'What psychological and social factors drive users to modify their privacy settings on social media platforms, and how do these adjustments affect their overall data security and online experience? ' to not be double barreled and refine the question to not be repetitive while still focusing on the topic 13 ChatGPT: What factors motivate users to change their privacy settings on social media platforms, considering both psychological and social influences? This revised question centers on the topic while avoiding double-barreling and repetition. It also serves as a compelling research question that encourages deeper insight and curiosity among individuals. Official Research Question: What factors motivate users to change their privacy settings on social media platforms, considering both psychological and social influences? This research question is a great choice because it digs into the reasons behind why people change their privacy settings on social media. It’s not just about the technical side of security; it also explores the psychological and social influences that drive these decisions. This makes it really relatable since everyone uses social media and might not fully understand why they adjust their privacy. By focusing on these factors, the question invites readers to think more deeply about their own online habits and the impact of their choices on their personal information. It sparks curiosity about the relationship between our social behaviors and how we protect ourselves online, making it a thought-provoking topic for research. Third Topic: Our Group’s Focus on Data Protection For our third topic, we wanted to explore the critical issue of data protection, particularly how organizations can enhance their measures to safeguard sensitive personal data and what legal consequences should arise from failures to do so. As data breaches become increasingly common, we were curious to examine the responsibility organizations hold in protecting the information they collect from individuals. 14 We were particularly interested in understanding the best practices and technologies that organizations can implement to minimize the risk of data breaches. How can they ensure that sensitive personal data is stored securely, and what protocols should be in place for data access and sharing? Additionally, we find it very important to discuss the implications of negligence in data protection. What should be the legal ramifications for organizations that fail to uphold data security standards? We believe addressing these questions is very important in order to create a safer digital environment for all users. Third Topic Exploration With our topic in mind, we began the process of developing a research topic and formulating solid research questions using ChatGPT. With the ideas of what we want to focus on for this topic we asked ChatGPT to give us some research topics. Conversation with ChatGPT: Us: We want to focus on the topic of data protection and how organizations can enhance their measures to safeguard sensitive personal data. How can they ensure that sensitive personal data is stored securely, and what protocols should be in place for data access and sharing? Give us a few research topics. ChatGPT: 1. Best Practices for Data Encryption: Investigate various encryption methods for sensitive data at rest and in transit, and how organizations can implement these practices to enhance data security. 2. Role of Data Access Controls: Examine how implementing role-based access controls (RBAC) can limit access to sensitive data, reduce the risk of data breaches, and ensure compliance with data protection regulations. 15 3. Impact of Employee Training on Data Security: Analyze the effectiveness of employee training programs on data protection and how fostering a culture of data security can reduce human error in handling sensitive personal data. These were very long and complicated research topics that did not really impress us or catch our eye. So we kept playing around with ChatGPT to refine and shorten these and make them exactly what we want them to be. Conversation with ChatGPT: Us: No we don't really like any of these as they are way too long and not concise plus they're all double barreled. We need a short and concise research topic that's still a bit detailed. ChatGPT: Here are some concise research topics for your assignment on data protection: 1. Enhancing Data Security Through Encryption 2. Implementing Role-Based Access Controls 3. The Importance of Employee Data Security Training 4. Data Sharing Protocols in Compliance with GDPR 5. Creating Effective Incident Response Plans 6. Cloud Security Best Practices for Personal Data 7. AI's Role in Strengthening Data Protection 8. Ethical Data Collection and Privacy Considerations Us: Give us a few more detailed and refined ones. ChatGPT: 1. Best Practices for Safeguarding Sensitive Personal Data in Organizations 2. Legal Consequences of Data Breaches: Responsibility and Accountability 16 3. The Role of Data Encryption in Preventing Breaches 4. Establishing Effective Data Access Protocols to Enhance Security 5. Negligence in Data Protection: Defining Legal Standards and Responsibilities We were quite happy with the 4th option ChatGPT gave us as it was something that aligned closely to our interests so we decided to go with that one. Third Research Topic: Establishing Effective Data Access Protocols to Enhance Security We asked ChatGPT to give us 2 non-double-barreled research questions. We asked for 2 questions so we could see the list of questions it gave us and then from there pick and choose one that stood out the most. Conversation with ChatGPT: Us: Give us 2 non-double barreled research questions based on this research topic: ChatGPT: 1. How can organizations establish and enforce data access controls to limit the exposure of sensitive information to unauthorized personnel? 2. How can companies create robust incident response plans to mitigate the effects of a data breach and protect affected individuals' privacy? The initial questions provided by ChatGPT were phrased in double-barrel questions and overall seemed that they could be refined from what they originally were. We also seemed to like the first question more as it aligned with what we wanted to focus on more so we stuck with that one. Conversation with ChatGPT: Us: change the question on “How can organizations better protect sensitive personal data 17 to prevent breaches, and what should be the legal consequences of failing to do so?” to not be double barreled. ChatGPT: To avoid the double-barreled nature of the original question, you can split it into two distinct questions: 1. How can organizations better protect sensitive personal data to prevent breaches? 2. What should be the legal consequences for organizations that fail to protect sensitive personal data? This separates the focus on data protection strategies from the legal consequences of failing to implement them effectively. After getting ChatGPT to change the question from being double barreled we realized that we would have to choose only one of the topics to refrain it from being double barreled. Conversation with ChatGPT: Us: refine the topic of how can organizations better protect sensitive personal data to prevent breaches ChatGPT: What strategies and best practices can organizations implement to strengthen the protection of sensitive personal data and reduce the risk of data breaches? Us: remove the word practice and make it more detailed but keep it short ChatGPT: What strategies can organizations implement to enhance data encryption, access controls, and monitoring systems to better protect sensitive personal information and prevent breaches? Us: Keep the detail but shorten it a little more 18 ChatGPT: How can organizations improve encryption, access controls, and monitoring to better protect sensitive data and prevent breaches? Us: Make this non double barreled ChatGPT: "What measures can organizations take to enhance encryption, access controls, and monitoring to protect sensitive data?" Similar to our first 2 topics, no matter how many times we asked ChatGPT to make our questions non double barreled it continued to give us double barreled answers. This was probably the most frustrating part of this entire process. Conversation with ChatGPT: Us: is this double barreled: What measures can organizations take to enhance encryption, access controls, and monitoring to protect sensitive data? ChatGPT: The question "What measures can organizations take to enhance encryption, access controls, and monitoring to protect sensitive data?" is still somewhat doublebarreled because it combines three different measures (encryption, access controls, and monitoring) under a single inquiry. To make it a single, non-double-barreled question, you could simplify it to focus on one aspect. For example: "What measures can organizations take to enhance encryption for protecting sensitive data?" This question addresses only encryption, avoiding the potential double-barreled nature by concentrating on one specific area. You could also create separate questions for access controls and monitoring if needed. 19 If you'd like to keep all three measures but ensure it's not perceived as double-barreled, you might say: "What overall strategies can organizations implement to enhance data protection?" This approach broadens the inquiry while keeping it singular. With this answer in mind, we liked the simplicity of the last question ChatGPT gave us which was "What overall strategies can organizations implement to enhance data protection?". We still felt as though there was something missing in the question. Conversation with ChatGPT: Us: I like this "What overall strategies can organizations implement to enhance data protection?" can this be a bit more detailed but still keep it non double barreled. ChatGPT: "What comprehensive strategies can organizations implement to strengthen data protection and safeguard sensitive information?" Still providing us with double barreled questions… We decided to go with this question, but to make it non double barreled we removed the second half of the question. Third Research Question: What comprehensive strategies can organizations implement to strengthen data protection? We are happy with this research question because it focuses on an important issue: how organizations can better protect personal data. It fits well with our main topic of looking at how data protection measures can be improved. By asking about comprehensive strategies, we can explore different ways organizations can reduce the risk of data breaches and keep sensitive information safe. This question lets us look at key areas like encryption, access controls, and monitoring systems, helping us find practical actions organizations can take to enhance their data 20 protection efforts. We believe this question will help us get a lot of valuable insights into making data protection practices more effective. 21 References OpenAI. (2024, September). ChatGPT (Sept version) [Large language model]. https://chat.openai.com/