Introduction to Data Ethics

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Questions and Answers

What is one benefit of using big data practices for marginalized groups?

  • It helps develop drugs solely for the majority group.
  • It allows for innovations that benefit a wider range of people. (correct)
  • It diminishes the impact of social systems on individuals.
  • It limits the testing of educational techniques.

How can big data enhance social and institutional efficiency?

  • By improving alignment between policies and goals. (correct)
  • By ensuring that all social systems remain unchanged.
  • By creating redundant and complex models of traffic systems.
  • By facilitating wasteful spending on unnecessary resources.

What example illustrates how data analytics can be used to promote citizen engagement?

  • Evaluating social media trends among the youth.
  • Identifying optimal locations for polling stations. (correct)
  • Analyzing traffic patterns to reduce congestion.
  • Developing marketing strategies for major retailers.

What is a primary advantage of predictive accuracy in big data analytics?

<p>It allows for more tailored actions for specific groups. (A)</p> Signup and view all the answers

In what way does big data contribute to ethical gains in a community?

<p>By streamlining access to various ethically significant goods. (D)</p> Signup and view all the answers

What is an example of predictive analytics in action?

<p>Predicting individuals' interests more accurately. (C)</p> Signup and view all the answers

What is a consequence of using big data to analyze social systems?

<p>It can expose issues such as fraud and abuse in systems. (B)</p> Signup and view all the answers

How does improved understanding of systems through big data influence resource use?

<p>Reduces wasted efforts and aligns with goals more effectively. (B)</p> Signup and view all the answers

What is the main focus of the study of ethics as described?

<p>Identifying a good life and how to act accordingly (C)</p> Signup and view all the answers

Which philosopher is quoted in the introduction regarding the importance of living a good life?

<p>Socrates (D)</p> Signup and view all the answers

In what ways can ethics be pursued, according to the content?

<p>Through formal legal practices and personal moral growth (B)</p> Signup and view all the answers

What aspect of ethics does the content identify as introducing questions about power and responsibility?

<p>Political dimensions of ethics (D)</p> Signup and view all the answers

How are the dimensions of ethics described in the content?

<p>As interwoven and mutually influencing (A)</p> Signup and view all the answers

What key element does ethics aim to improve in an individual's life?

<p>Moral character and betterment (B)</p> Signup and view all the answers

What does applied ethics focus on?

<p>How to act in specific situations based on ethical theories (B)</p> Signup and view all the answers

What role does community play in the pursuit of ethics?

<p>It provides cultural and regional guidance for ethical living (C)</p> Signup and view all the answers

What is a crucial consideration when handling data, even after obtaining consent?

<p>The potential future impacts on individuals and groups (B)</p> Signup and view all the answers

In the data ecosystem, what should researchers consider about the data they handle?

<p>The long-term accuracy and relevance of the data (D)</p> Signup and view all the answers

What ethical concern arises after data collection is complete?

<p>Assessing how the data might be misused in the future (C)</p> Signup and view all the answers

Why is understanding the context of data collection important?

<p>To recognize conflicting cultural values and expectations (C)</p> Signup and view all the answers

What should data handlers question regarding the future of the data?

<p>Who else might access it and for what purposes (C)</p> Signup and view all the answers

Which of the following is emphasized as an essential step in data handling?

<p>Envisioning the entire data ecosystem (B)</p> Signup and view all the answers

What ethical obligation extends beyond data collection?

<p>Monitoring how the data is used after it leaves your hands (D)</p> Signup and view all the answers

Which factor should researchers consider when storing data?

<p>The geographical location of servers and data security laws (C)</p> Signup and view all the answers

What might have denied Rosalina her deserved promotion?

<p>A poorly-designed predictive HR software package (C)</p> Signup and view all the answers

What is a potential outcome of the AI-driven diagnostic support system used in John's treatment plan?

<p>Improved chances of living longer (C)</p> Signup and view all the answers

How has advanced meteorological data analytics software impacted disaster preparedness?

<p>By enabling precise predictions for specific neighborhoods (A)</p> Signup and view all the answers

What risk do Peter's ex-wife and her children face due to lack of regulations?

<p>Unauthorized sale of their personal data (D)</p> Signup and view all the answers

What main benefit do predictive HR software packages aim to provide?

<p>Assist in objectively ranking candidates and employees (D)</p> Signup and view all the answers

What does the AI-driven diagnostic support system analyze that human doctors cannot?

<p>Large-scale patterns from massive patient data (B)</p> Signup and view all the answers

What was a limitation experienced by the Patels before the implementation of advanced meteorological data analytics?

<p>Inability to predict dangers in specific neighborhoods (C)</p> Signup and view all the answers

What can be inferred about the economic implications for Rosalina due to HR software biases?

<p>She could struggle financially due to being denied promotions. (C)</p> Signup and view all the answers

Who is expected to answer for ethical failures in data-driven projects?

<p>Any member of the project team (A)</p> Signup and view all the answers

What is a key reason for encouraging discussions about potential failures in engineering?

<p>To enhance project outcomes (B)</p> Signup and view all the answers

What is one method suggested for addressing potential project crises before they occur?

<p>Pre-mortems (D)</p> Signup and view all the answers

Which quality is essential for preserving a healthy relationship between data practitioners and the public?

<p>Transparency (D)</p> Signup and view all the answers

What should crisis plans focus on, rather than simply deflecting blame?

<p>Mitigation and remedy of harm (A)</p> Signup and view all the answers

How should data practitioners respond to known failures?

<p>Analyze and discuss them thoroughly (D)</p> Signup and view all the answers

Why do many practitioners prefer to focus on positive outcomes rather than anticipating disasters?

<p>They believe it's more motivating (D)</p> Signup and view all the answers

Which practice helps data practitioners design to prevent crises?

<p>Imagining how a project could fail (D)</p> Signup and view all the answers

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Study Notes

Understanding Ethics

  • Ethics represents humanity's pursuit of the best way to live, aiming for a ‘good life’ filled with achievements and virtues.
  • Philosophical inquiries into ethics seek to define what constitutes a good life and how to achieve it pragmatically.
  • Ethics encompasses various dimensions: political (justice and power), personal (moral reflection), and professional (codes of conduct in fields like medicine and law).

Ethics and Technology

  • Technology intersects with ethics across various scenarios, impacting individual lives and societal structures.
  • Biased algorithms in HR can perpetuate discrimination, affecting individuals like Rosalina, impeding economic security and career progression.
  • AI-driven diagnostic tools can enhance health outcomes, exemplified by John's improved cancer treatment prospects.
  • Advanced data analytics improves disaster forecasting, potentially saving lives—like those of the Patel family—by enabling targeted evacuation measures.
  • Ethical implications arise when personal data is mismanaged, highlighting the risks posed to marginalized communities by misuse of big data.

Social, Institutional, and Economic Efficiency

  • Accurate data representation facilitates system improvements, reducing resource waste and aligning processes with societal goals.
  • Big data analytics aids in traffic flow optimization, environmentally reducing pollution and fuel use through informed urban planning.
  • Enhanced models of voting behavior can promote civic engagement by optimizing polling station accessibility.

Predictive Accuracy and Personalization

  • Data analytics offers tailored solutions, optimizing outcomes for specific individuals and groups, particularly in personalizing online experiences.
  • Ethical considerations arise when handling sensitive data, emphasizing the need for cautious management akin to human interactions.

Focus on Downstream Risks of Data Use

  • Ethical responsibility extends beyond initial data collection to understanding long-term impacts and potential risks of misuse.
  • Consideration of data storage, future accuracy, and the potential for harm is crucial when engaging with sensitive personal information.

Viewing the Data Ecosystem Holistically

  • Contextual awareness is essential in data management; stakeholders must consider interests beyond their immediate research goals, including implications for personal data subjects.
  • Legal and cultural frameworks surrounding data security impact ethical standards; understanding these dynamics is vital for responsible data practices.

Data Disaster Planning and Crisis Response

  • Anticipating and planning for potential failures enhances project resilience, mirroring engineering best practices focused on safety.
  • Post-mortems and pre-mortems are useful strategies for learning from past errors and envisioning potential project failures to preemptively address issues.
  • Crisis management plans should prioritize effective harm mitigation rather than simply deflecting blame.

Promoting Values of Transparency, Autonomy, and Trustworthiness

  • Fostering a trusting relationship between data practitioners and the public hinges on transparency and respect for user autonomy.
  • Strategies that obscure risks or betray public trust undermine long-term data management goals and reputational integrity.

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