Facial Recognition Ethics in India
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Questions and Answers

What is a primary ethical concern regarding the capture of photos and biometric data by Telangana authorities?

  • Violation of privacy without consent (correct)
  • Improvement in public safety
  • Increased technological efficiency
  • Enhanced crime prevention techniques
  • Which legal principle is violated by the Telangana authorities' policies on photographing individuals?

  • Fundamental right to privacy (correct)
  • Freedom of speech
  • Legislation on data protection
  • Right to public assembly
  • Which of the following is a potential misuse of facial recognition technology as mentioned in the ethical concerns?

  • Preventative safety measures
  • Reduction in crime rates
  • Discrimination against specific groups (correct)
  • Efficiency in crime resolution
  • Which of the following can be considered a disadvantage of using surveillance technology according to the ethical discussion?

    <p>Erosion of public trust</p> Signup and view all the answers

    How does Bell’s value of integrity relate to data privacy?

    <p>It fosters trust through honest data handling.</p> Signup and view all the answers

    What value does Animikii's concept of truth promote in relation to data practices?

    <p>Transparency in data use</p> Signup and view all the answers

    Which component is NOT a principle of cultural safety regarding data privacy?

    <p>Preservation of personal financial data</p> Signup and view all the answers

    What aspect does the value of wisdom relate to in terms of data use according to Animikii's values?

    <p>Responsible and beneficial use of data</p> Signup and view all the answers

    Was the capture and use of location data by Tim Horton’s ethical?

    <p>No, it misled users and collected unnecessary data.</p> Signup and view all the answers

    What constitutes a privacy violation regarding Tim Horton's location data collection?

    <p>Collecting data while users are not actively using the app.</p> Signup and view all the answers

    Why should apps that share Canadian data with foreign governments be considered for banning?

    <p>To safeguard national security and personal data.</p> Signup and view all the answers

    What is crucial for maintaining emergency communication systems in a country?

    <p>Ensuring timely communication during disasters.</p> Signup and view all the answers

    What is one way Rogers can prepare its employees for emergencies?

    <p>Provide training and regular emergency response drills.</p> Signup and view all the answers

    How can a company enhance its emergency preparedness?

    <p>Test backups regularly and develop an emergency plan.</p> Signup and view all the answers

    What does the principle of data minimization entail?

    <p>Collecting only necessary data to minimize exposure.</p> Signup and view all the answers

    Why should Canada enforce strong protection laws for children's data?

    <p>Children are vulnerable and their data impacts their future privacy.</p> Signup and view all the answers

    What is a significant reason TEMU might struggle with long-term sustainability?

    <p>Failure to establish consumer trust and address ethical concerns.</p> Signup and view all the answers

    What key factor makes TEMU unlikely to replace Amazon.ca?

    <p>Better logistics management and trust built with customers.</p> Signup and view all the answers

    What do information systems controls help protect against?

    <p>Unauthorized access and fraud.</p> Signup and view all the answers

    What is one disadvantage of monolithic platforms?

    <p>Limited flexibility and rigidity.</p> Signup and view all the answers

    What is a key advantage of a monolithic platform?

    <p>Simplified implementation with a single provider.</p> Signup and view all the answers

    What is one of the benefits that Amazon realizes from its use of machine learning applications in fulfillment centers?

    <p>Improved efficiency</p> Signup and view all the answers

    What type of analytics is used to forecast malaria outbreaks by combining real-time data with satellite imagery?

    <p>Predictive analytics</p> Signup and view all the answers

    In the car repair industry, who primarily benefits from AI implementation?

    <p>Insurance companies</p> Signup and view all the answers

    Which of the following is a human resource problem encountered by Amazon due to its machine learning applications?

    <p>Workers skipping bathroom breaks</p> Signup and view all the answers

    What is a primary advantage of composable systems?

    <p>Reduced downtime with continuous development</p> Signup and view all the answers

    What key benefit does cloud technology provide in the context of IT solutions?

    <p>Enhanced accessibility and lower maintenance costs</p> Signup and view all the answers

    What type of data is NOT used by Google’s Earth Engine?

    <p>Genetic sequences</p> Signup and view all the answers

    What technology solution could help mitigate human resource problems for Amazon workers?

    <p>Smart scheduling system</p> Signup and view all the answers

    What is a disadvantage of a composable system?

    <p>Significant planning required for initial implementation</p> Signup and view all the answers

    What did Haribo aim to achieve with their ERP system upgrade?

    <p>Enhance efficiency and scalability for international operations</p> Signup and view all the answers

    Which application of Google Earth Engine focuses on environmental monitoring?

    <p>Mapping vegetation in Canada</p> Signup and view all the answers

    What is one negative impact on car repair shops due to the implementation of AI?

    <p>Lower estimates and increased disputes</p> Signup and view all the answers

    What is a core commitment of tech stewardship?

    <p>Advancing understanding of technology's impact</p> Signup and view all the answers

    What effectively minimizes the need for traditional hardware in IT solutions?

    <p>Leveraging cloud technology</p> Signup and view all the answers

    How do autonomous mobile robots differ from traditional robots?

    <p>They can adapt to their environment and handle diverse tasks</p> Signup and view all the answers

    What was a challenge faced by Haribo during their ERP system implementation?

    <p>Misalignment with business goals</p> Signup and view all the answers

    What is one critical approach to better prepare for an ERP upgrade?

    <p>Align ERP goals with business objectives</p> Signup and view all the answers

    What is a significant advantage of decentralized IT?

    <p>Improved decision-making speed</p> Signup and view all the answers

    What aspect does predictive analytics cover in the context described?

    <p>Estimating future patient volumes and resource needs</p> Signup and view all the answers

    What is a common application of descriptive analytics in healthcare?

    <p>Real-time patient outcome tracking</p> Signup and view all the answers

    What customer relationship management method can improve customer experience through automation?

    <p>Providing chatbots for 24/7 support</p> Signup and view all the answers

    What major change did technology bring to the banking industry regarding system architecture?

    <p>Transitioning to composable systems for greater agility</p> Signup and view all the answers

    Study Notes

    Case Study #1 – Facial Recognition in India Raises Concerns

    • Telangana authorities are using facial recognition software, raising concerns about privacy violations.
    • Collection of photos and biometric data without consent is a privacy violation.
    • Profiling and lack of transparency contribute to ethical concerns.
    • No safeguards exist for preventing misuse of the collected data.
    • The practice clashes with a Supreme Court ruling on privacy as a fundamental right.
    • The use of the software violates a 1920 law prohibiting the photographing or fingerprinting of those not arrested or convicted.

    Case Study #2 – Driving Change through Technology, the Indigenous Way

    • Bell's values (integrity, respect, safety, ethical conduct, and conflict avoidance) relate to honest data handling, respecting data rights, preventing misuse, following laws, and avoiding personal gain from data.
    • Animikii's values (humility, truth, honesty, wisdom, respect, courage, and love) relate to respecting client views, promoting transparency, honest data use, beneficial use, data sovereignty, advocating ethical practices, prioritizing community well-being.
    • Cultural safety in data privacy includes data sovereignty, cultural respect, inclusive policies, informed consent, heritage protection and cultural sensitivity training.

    Case Study #3 – “No Thank-you” to Donuts and TikTok Questions

    • Tim Hortons' collection of customer location data without explicit consent was unethical and violated privacy.
    • The app tracked user location even when inactive, violating privacy rights.
    • There's a debate about banning apps sharing Canadian data with foreign governments, with considerations for national security and personal data. The specific countries involved could influence the decision.

    Chapter 4 - Case #1 - Our Biggest Infrastructure Failure

    • Effective emergency communications are crucial for national resilience during disasters and emergency services.
    • Companies like Rogers should train employees in emergency response and conduct regular drills.
    • Organizations need emergency plans, testing backup systems, and clear procedures for crisis management.
    • Individual preparedness includes creating a kit, securing documents, having an emergency contact list, and ensuring the home is weatherproof.

    Chapter 4 - Case #2 - Hospital for Sick Children (SickKids) Goes Code Grey

    • Hacking a children's hospital carries significant ethical concerns, particularly regarding the potential for harm to vulnerable patients.
    • Data minimization, storing only necessary data, minimizes the scope of potential breaches.
    • Canada needs strong laws protecting children's data, given their vulnerability and the long-term impacts of collected data.

    Chapter 7 - Case Study #1 – TEMU Arrives in Canada

    • TEMU's long-term success depends on building trust, ensuring quality products, and addressing ethical concerns.
    • The direct-source business model can complement other industries with a strong, verified source.
    • Business pressures include economic conditions, competition, and social/ethical concerns.
    • Amazon.ca is unlikely to be replaced by TEMU due to its superior logistics, established trust, and extensive product variety. Online retailers can counteract the threat by diversifying product offerings and improving customer service.

    Chapter 7 - Case Study #2 – Online Fraud in Canada

    • CAFC toolkits give broad fraud prevention advice, targeting diverse risks, while Shopify focuses on e-commerce-specific problems through software solutions.
    • Small businesses can enhance security with multi-factor authentication, fraud detection tools, and periodic security audits.
    • Information system controls (like access control, encryption, and transaction monitoring) safeguard against e-commerce fraud.

    Chapter 7 - Case Study #3 – Direct Electric Vehicles Sales Via E-commerce

    • Direct EV sales could lower costs but might affect employment and local revenue.

    Chapter 10 - Case Study #1 – Composable Business

    • Monolithic platforms: Integrated systems from a single vendor, simplifying implementation but limiting flexibility.
    • Composable systems: Independent components integrated via APIs, enabling agility and customization but requiring careful planning.
    • Technology's impact on banking includes adopting composable systems, enhancing online/mobile services, and leveraging cloud technology.

    Chapter 10 - Case Study #2 – Centralized vs Decentralized

    • Centralized IT: Efficiency, standardization, ease of maintenance, security, adherence to industry standards, but limits flexibility.
    • Decentralized IT: Faster decision-making, customization, but can lead to different standards and security challenges.
    • Cloud computing shifts reliance from centralized IT, facilitating hybrid solutions. Hybrid models combine centralized security and standardization with departmental autonomy, leveraging the cloud for scalability.

    Chapter 10 - Case Study #3 – Haribo’s ERP Project

    • Haribo aims to streamline production, replace outdated systems, and improve international operations.
    • ERP implementation challenges include misalignment with business goals, employee resistance, and operational disruptions.
    • Successful ERP upgrades require aligning goals with business objectives, careful planning of business process re-engineering, and rigorous pre-launch testing.

    Guest Speaker – Tech Stewardship

    • Tech stewardship focuses on shaping technology's impact for beneficial change and emphasizes the importance of values-driven technology use.
    • Tech stewardship behaviours include purposeful, responsible, inclusive, and regenerative practices. Regenerative practices consider environmental, economic, community, and individual well-being.

    Chapter 11 - Case Study #1 – Robust to the Rescue

    • Autonomous mobile robots adapt to environments and perform diverse tasks, improving efficiency and labor costs in warehousing.
    • Warehouses are unlikely to be fully automated due to the need for human judgment in complex scenarios.

    Chapter 11 - Case Study #2 – IT helps Laura Canada to come back

    • Laura Canada used IT solutions (single platform integration, AI-powered personalization, automated campaigns, enhanced website performance) to improve customer experience, boost sales, and improve supply chain efficiency. Other CRM approaches include loyalty programs and chatbots. Other supply chain approaches include demand forecasting.

    Chapter 12 - Case Study #1 – North York General Hospital uses IBM Analytics solutions

    • NYGH aims to improve patient care and operational efficiency, adopting a single data analysis system.
    • Data sources include patient data, operational performance, financial data, and resources.
    • Descriptive analytics applications include performance dashboards, reporting on QBPs, and real-time monitoring.
    • Predictive applications involve forecasting ED volumes, managing bottlenecks, and optimizing patient flow. NYGH leveraged analytics during the COVID-19 pandemic for real-time data on cases, optimizing resources.

    Chapter 12 - Case Study #2 – Google’s earth engine

    • Google Earth Engine uses satellite imagery, aerial photography, street view, GIS, and environmental data.
    • Descriptive analytics uses mapping tools for environmental monitoring and weather forecasting.
    • Predictive analytics includes forecasting malaria outbreaks using real-time data and satellite imagery, enabling healthcare workers to predict and prepare for new cases.

    Chapter 14 - Case Study #1 – Artificial Intelligence in Amazon Fulfillment Centres

    • Amazon benefits from ML applications in improved efficiency, cost savings, real-time monitoring, and increased productivity.
    • Human resource problems arising include pressure on workers, decreased breaks, and potential injuries due to demanding work pace. Potential solutions include automated scheduling and robotic safety enhancement. Management solutions to support workers are also needed.

    Chapter 14 - Case Study #2 – AI in the Car Repair Industry

    • AI in the car repair industry, primarily benefits insurance companies. Increased efficiency, cost savings, and improved accuracy in processing claims are advantages. Car repair shops face potential challenges of lower estimates, increased disputes, and less personal customer interaction.

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    Description

    This quiz examines ethical concerns surrounding the use of facial recognition technology in India, particularly the implications for privacy and data consent. It discusses the clash with legal rulings and the potential misuse of biometric data. Explore the dilemmas faced by authorities and the societal impact of such technologies.

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