Responsible AI Institute 2022 Day 1 Collected Resources
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Material Type: Primary Source
Responsible AI Institute 2022 Day 1 Collected Resources
Material Type: Primary Source
Participant led session during the 2022 Responsible AI Institute on algorithmic bias—Kimberly Van Orman
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"Second Life was supposed to be the future of the internet, but then Facebook came along. Yet many people still spend hours each day inhabiting this virtual realm. Their stories—and the world they’ve built—illuminate the promise and limitations of online life.'
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Ambitious learning practices refer to pedagogies that encourage collaboration, dialogue, and productive disciplinary engagement. Socioscientific Inquiry (SSI) is an ideal context for investigating how such practices can be formalized through investigations that place science in context. In SSI, problem solving as student collaborative activity is organized around a driving inquiry question to engage scientific and social issues in ways that expand pathways for entry and success.
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"Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed."
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Examining and interrogating emerging technology prepares students for the responsible adoption and deployment of the new technologies to emerge over the next several decades. In this session, you will examine a frontier AI-based technology with wide-ranging implications, to experience this approach to undergraduate AI coursework.
Material Type: Interactive, Reading
"David Beckham does not speak Arabic, Hindi or Mandarin. But when the soccer legend starred in a PSA for malaria awareness this spring, he effortlessly switched among these and six other languages, thanks to cutting-edge technology that could soon change how Hollywood localizes its movies and TV shows..."
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Examples of synethic humans and deepfakes from our opening provocation, "Human Digitization and Deep Fakes: Exploring the Implications of a Frontier Technology" by Sarah Rispin Sedlak
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"Arguments over whether Google’s large language model has a soul distract from the real-world problems that plague artificial intelligence."
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"The latest natural-language system generates tweets, pens poetry, summarizes emails, answers trivia questions, translates languages and even writes its own computer programs."
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"What happens when robots not only learn to write well, but the tech becomes easily accessible and cheap? As Hal Crawford explains, it’ll likely be teachers who feel the effects first."
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"Developed by Dr. Edward de Bono, the “Six Thinking Hats” ™ technique is a framework designed to promote holistic and lateral thinking in decision-making and evaluation. Conducted alone or in group meetings, participants – project members, key decision-makers and stakeholders – are encouraged to cycle through different modalities of thinking using the metaphor of wearing different conceptual “hats”.This approach seeks to combine the strengths of a range of different mental “states” which individuals instinctively tend towards – from rational and positive perspectives to emotional and intuitive, or from optimistic to pessimistic - by prompting participants to consider the same problem through a full spectrum of thinking styles in coming to common agreement on a decision or shared purpose. Six “hats” are available to use, each identified by a different colour symbolic of a different style of thinking, and each dictating a unique mode of analysis."
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"Nearly fifteen years ago, in The End of Nature, Bill McKibben demonstrated that humanity had begun to irrevocably alter and endanger our environment on a global scale. Now he turns his eye to an array of technologies that could change our relationship not with the rest of nature but with ourselves. He explores the frontiers of genetic engineering, robotics, and nanotechnology—all of which we are approaching with astonishing speed—and shows that each threatens to take us past a point of no return. We now stand, in Michael Pollan's words, "on a moral and existential threshold," poised between the human past and a post-human future. McKibben offers a celebration of what it means to be human, and a warning that we risk the loss of all meaning if we step across the threshold. Instantly acclaimed for its passion and insight, this wise and eloquent book argues that we cannot forever grow in reach and power—that we must at last learn how to say, "Enough.""
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"Creativity is, and always will be, a human endeavor."
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Responsible AI Institute 2022 Day 2 Collected Resources
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Participant-led Session #3: Explainable AI (XAI) and inclusive AI design through participatory approaches - Nupoor Ranade
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"Classroom Assessment Techniques (CATs) are generally simple, non-graded, anonymous, in-class activities designed to give you and your students useful feedback on the teaching-learning process as it is happening."
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"The UDL Guidelines are a tool used in the implementation of Universal Design for Learning, a framework to improve and optimize teaching and learning for all people based on scientific insights into how humans learn. Learn more about the Universal Design for Learning framework from CAST. The UDL Guidelines can be used by educators, curriculum developers, researchers, parents, and anyone else who wants to implement the UDL framework in a learning environment. These guidelines offer a set of concrete suggestions that can be applied to any discipline or domain to ensure that all learners can access and participate in meaningful, challenging learning opportunities."
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Participant-led Session #5 for the Responsible AI Institute: Responsible AI and Data Science Education - Felesia Stukes
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Responsible AI Institute 2022: Participant-led Session #4: Responsible AI for health (development and use in heathcare settings, with aim of health equity and antiracism) - Kirsten Ostherr
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