Artificial Intelligence & Human Values - Lecture 3
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Questions and Answers

What aspect of education is highlighted in the context of computing and AI?

  • Role of emotional intelligence
  • Practices of thinking and learning (correct)
  • Importance of rote memorization
  • Standardized testing methods

    • What is a significant concern regarding AI in education?

  • Reduction of interpersonal relationships
  • Discouragement of critical thinking (correct)
  • Flawed memory storage techniques
  • Over-reliance on traditional textbooks

    • Which creature is referenced in the Sphinx's riddle?

  • A bird
  • A fish
  • A man (correct)
  • A worm

    • What key question is posed about technology and education?

    <p>What skills do we need?</p> Signup and view all the answers

    According to Licklider, what do computers facilitate in education?

    <p>Formulative thinking</p> Signup and view all the answers

    What aspect of knowledge-making does AI influence?

    <p>Collective dominant ways of knowing</p> Signup and view all the answers

    What is a focus of the discussion on AI and technical tools?

    <p>How to accommodate and preserve what we value</p> Signup and view all the answers

    What technological concept is critiqued regarding its impact on society?

    <p>Technological determinism</p> Signup and view all the answers

    What constitutes plagiarism in the context of this course?

    <p>Presenting generated content as one's own work</p> Signup and view all the answers

    What will happen if generated text is suspected in an assignment?

    <p>The student will be given a 0 on that assignment</p> Signup and view all the answers

    What is one of the interpretive frames discussed related to Generative AI?

    <p>Human &amp; Machine</p> Signup and view all the answers

    What is a concern related to Generative AI mentioned in the course content?

    <p>Manipulation and influence of information</p> Signup and view all the answers

    What must students do when using translation tools?

    <p>Declare their use of such tools</p> Signup and view all the answers

    Who is one of the featured speakers in the upcoming October events?

    <p>Ruha Benjamin</p> Signup and view all the answers

    What is one of the ethical considerations surrounding AI mentioned in the weekly reading?

    <p>The Power of Technology</p> Signup and view all the answers

    What issue related to Generative AI is highlighted through the Truth & Power Frame?

    <p>Historical context of bias and data fairness</p> Signup and view all the answers

    What is one primary dependency of AI in the context of knowledge?

    <p>The existence and curation of large data sets</p> Signup and view all the answers

    Which of the following represents a common myth about technology in society?

    <p>Technological determinism</p> Signup and view all the answers

    What is a consequence of the belief that data is natural and necessary for knowledge?

    <p>Certain ways of knowing are prioritized over others</p> Signup and view all the answers

    What aspect of knowledge does Jasanoff highlight regarding technology?

    <p>It requires democratic oversight to manage effectively</p> Signup and view all the answers

    What does examining tools and their limits help uncover?

    <p>The context of learning-relationships and knowledge obligations</p> Signup and view all the answers

    According to the key takeaways, the introduction of AI invites scrutiny of which question?

    <p>What does it mean to know?</p> Signup and view all the answers

    What is a problematic aspect of 'universal' knowledge as highlighted in the key takeaways?

    <p>It tends to privilege certain perspectives</p> Signup and view all the answers

    How are different ways of knowing with AI integrated within disciplines?

    <p>By adapting tools to specific discipline contexts</p> Signup and view all the answers

    What should the student-teacher relationship ideally focus on for effective learning?

    <p>Promoting open communication and collaboration</p> Signup and view all the answers

    Which of the following characterizes the concept of 'new empiricism'?

    <p>Induction prioritized over deduction</p> Signup and view all the answers

    What is a primary critique of the 'end of theory' perspective?

    <p>Data is always selective and theory-laden</p> Signup and view all the answers

    How does AI in learning affect the nature of knowledge-making?

    <p>It encourages a blend of computational patterns with human understanding</p> Signup and view all the answers

    What is 'Big Data' considered as in the context of knowledge?

    <p>A sociotechnical fact with specific attributes</p> Signup and view all the answers

    What is a consequence of the shift in the political economy of data?

    <p>The control over data shifts from academic to corporate contexts</p> Signup and view all the answers

    What does the phrase 'data speak for themselves' imply in light of machine learning?

    <p>Machine learning identifies patterns that humans cannot discern</p> Signup and view all the answers

    What is suggested as necessary for constructing a more just world?

    <p>Insisting on a better account of the world</p> Signup and view all the answers

    Study Notes

    Artificial Intelligence & Human Values - Lecture 3: Learning to Know

    • Generative AI in Assignments:

      • Generated text shouldn't be presented as original work
      • Presenting generated content as one's own constitutes plagiarism and is counterproductive.
      • Using translation/grammar correction tools should be declared.
      • Suspected generated text will be checked, notified, and result in a 0 grade.

    • Interpretive Frames for Generative AI:

      • Interpretive frames assign meaning to events and conditions, as described by Steve Epstein in Impure Science (1996).
      • Ways of framing the issue include Political Economy, Property, Human & Machine, Truth & Power, and Environment.

    Questions for Lecture 3

    • Contemporary issues in AI's relationship to research and knowledge-making?
    • How does AI's role in knowledge-making relate to debates about good education?
    • Importance of critical thinking in the AI era?

    October Events

    • Global Lecture Series (Social Artificial Intelligence):

      • Nicholas A. Christakis explores hybrid systems of humans and AI, focusing on how AI can enhance or harm group interactions.
      • His research emphasizes "dumb" AI to supplement human interaction for a better future.

    • Global Lecture Series (As If Human):

      • This lecture analyzes AI's historical cycles of enthusiasm and disillusionment.
      • It addresses concerns about regulating AI systems for human values and ethics.

    • Race to the Future? (Artificial Intelligence to Abundant Imagination)

      • Ruha Benjamin's perspective on imagination's role in fostering social change
      • Exploration of current and historical systems shaped by harmful ideologies
      • Calls are made to imagine different possibilities for a more equitable future.

    Other Topics

    • "Learning to Know" Lecture Content:

      • Al impacts on learning and knowledge-making are highlighted: individual practices, interpersonal relationships, and collective ways of knowing

    • "Back to the Age of Computation?"

      • Prof. Torsten Hoefler outlines the historical context of computing, including various stages in technological development.

    • "The End of Theory":

      • Data analysis may make scientific explanations difficult due to the complexity of the data.
      • Statistical algorithms can uncover patterns not visible through standard models and theories.

    • "A New Empiricism":

      • Emphasis on full data resolution and granularity using all data instead of sampling,
      • Shift towards inductive reasoning over deductive reasoning
      • Focus on prediction and correlation
      • Data drives discovery of patterns not obvious to humans.

    • Critique of "End of Theory":

      • Data selection is inherently biased.
      • Context of data is essential to interpreting data.

    • Big Data, AI, and Knowledge:

      • Big Data is a sociotechnical phenomenon characterized by volume, variety, and velocity.
      • Data can be viewed as a context or situation
      • How data are valued differs in different contexts.
      • The political economy of data should be considered.
      • Shift toward corporate rather than academic contexts.

    • "Insist on a better account of the world":

      • Emphasis on constructing a less inequitable world, not driven by axes of domination

    • Situated AI:

      • Importance of domain-specific AI, reproducibility, and transparency
      • Japanese researchers are developing AI for their own culture

    • Dominant Ways of Knowing with AI:

      • Reflect on varying ways of knowing in specific disciplines
      • Identify the affordances and limits of AI for learning in that domain
      • Examine ways of knowing, learning in different disciplinary ways, and critically examine the assumptions of these practices.

    • Additional Readings and Exercises:

      • Sheila Jasanoff, "The Power of Technology," Ethics of Invention (2016)
      • Donna Haraway, "Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective" (1988)
      • Ursula Le Guin, "The Carrier Bag Theory of Fiction" (1996)
      • Joanna Radin, "Digital Natives': How Medical and Indigenous Histories Matter for Big Data" (2017)

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    HS2024 Lecture 3 - Learning to Know PDF

    Description

    This quiz focuses on key concepts from Lecture 3 of the 'Artificial Intelligence & Human Values' course, specifically discussing generative AI in academic assignments and the various interpretive frames for understanding AI's impact on research and knowledge-making. It also poses critical questions regarding the relationship between AI, education, and critical thinking in today's world.

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