1 - 10 of 165 results for: artificial intelligence

This is a team-based course where students will work on a project to design and carry out an experiment intended to drive social impact in collaboration with a partner organization. The first few weeks will include lectures, hands-on tutorials, and labs designed to guide students through the process of experimental design in the digital context. Special topics include designing and selecting outcome measures that capture the impact of interventions; multi-stage experiments with applications to chatbots; learning how treatment effects vary across subgroups; adaptive experiments using bandits and artificial intelligence; and estimation of policies that target treatments based on subject characteristics. Experiments may be conducted on the customer base of a partner organization through their digital applications or on recruited subjects, such as subjects recruited to interactive chatbots. The teaching team will provide templates and technical assistance for designing and running the experiments. Students from different disciplinary backgrounds will be assigned roles to work in teams on the project. This course is part of the GSB's Action Learning Program, in which you will work on real business challenges under the guidance of faculty. In this intensive project-based course, you will learn research-validated foundations, tools, and practices; apply these tools and learnings to a real project for an external organization; create value for the organization by providing insights and deliverables; and be an ambassador to the organization by exposing them to the talent, values, and expertise of the GSB. You will also have the opportunity to gain practical industry experience and exposure to the organization, its industry, and the space in which it operates; build relationships in the organization and industry; and gain an understanding of related career paths. Prerequisites: Some experience with statistical analysis and the R statistical package. Students with less experience will have an opportunity to catch up through tutorials provided through the course. Non-GSB students are expected to have an advanced understanding of tools and methods from data science and machine learning as well as a strong familiarity with R, Python, SQL, and other similar high-level programming languages. Cardinal Course certified by the Haas Center.

From self-driving cars to bots that alter democratic elections, artificial intelligence is growing increasingly powerful and prevalent in our everyday lives. Literature has long been speculating about the techno-utopia and catastrophe that A.I. could usher in. Indeed, literature itself presents us with a kind of A.I. in the many characters that speak and think in its pages. But how do we classify an intelligence as "artificial" or not? Is there a clear boundary that demarcates bodies from machines? What, if anything, separates the "genre" of technology from that of literature? What classifies literature as "science fiction," "scientific," "futuristic," "psychological," or "dystopian"? And can technology or literature ever overcome the ultimate division between all intelligences - the problem of other minds? This course consists in curated multi-genre combinations of literature, philosophy, film, and television that explore what makes someone - or something - a person in our world today. Special events will include celebrating the current bicentennial of Mary Shelley's Frankenstein (1818) in Stanford Special Collections; a possible visit to Stanford's A.I. Laboratory; and chatting with the ELIZA chatbot.

Lecture/small group course exploring intersections of STEM, arts and humanities scholarship and practice that engages with, and generated by, exponential technologies. Our course explores the social ethical and artistic implications of artificial intelligence systems with an emphasis on aesthetics, civic society and racial justice, including scholarship on decolonial AI, indigenous AI, disability activism AI, feminist AI and the future of work for creative industries.

(Graduate students register for 220. COMM 120W is offered for 5 units, COMM 220 is offered for 4 units.From Snapchat to artificial intelligence, digital systems are reshaping our jobs, our democracies, our love lives, and even what it means to be human. But where did these media come from? And what kind of culture are they creating? To answer these questions, this course explores the entwined development of digital technologies and post-industrial ways of living and working from the Cold War to the present. Topics will include the historical origins of digital media, cultural contexts of their deployment and use, and the influence of digital media on conceptions of self, community, and state. Priority to juniors, seniors, and graduate students.

What does it mean to claim we are all cyborgs ¿ a hybrid of human and machine? Cyborgs have long captured the popular imagination of people around the world, appearing in various forms of media including films, books, and video games. In these instances, cyborgs are typically imagined as futuristic entities, portrayed as products of anticipated technological advancements yet to come. This course takes a different approach, employing the cyborg as a framework to understand human existence and experience across space and time, and explore the relationship between the body, culture, and technology. Drawing from anthropology and other relevant fields, this course emphasizes how humans and tools co-construct each other, blurring the boundaries between natural and artificial, human and machine. The first section of the course will present different theoretical perspectives for understanding human-machine interactions and relationships. In the second section, we will spend each week examining various types of technological embodiments. Specific technologies explored include smartphones and wearables; biohacking and prostheses; virtual reality; and artificial intelligence. And in the last section, we explore the tensions between narratives of technological pessimism and optimism, comparing the ways different individuals and communities perceive and evaluate emergent technologies' consequences for society, now and in the future. This course will provide students with the opportunity to conduct limited, small-scale ethnographic fieldwork on human-machine interactions. The data collected during these ethnographic exercises will inform the in-class presentation and final paper for the course.

Lecture/small group course exploring intersections of STEM, arts and humanities scholarship and practice that engages with, and generated by, exponential technologies. Our course explores the social ethical and artistic implications of artificial intelligence systems with an emphasis on aesthetics, civic society and racial justice, including scholarship on decolonial AI, indigenous AI, disability activism AI, feminist AI and the future of work for creative industries.

This course delves into the rapidly evolving landscape of contemporary art as it intertwines with the advancements in artificial intelligence. Students will explore how artists from Asia and its diaspora are harnessing the capabilities of AI to redefine artistic expressions, appropriate traditional media and aesthetics, and interrogate the boundaries between human creativity and machine intelligence. Drawing upon case studies, hands-on experiments, and critical discussions, students will gain a deeper understanding of the sociocultural implications of AI-infused artistry and its impact on society. This course contextualizes its content in a global narrative, discussing challenging themes and existential inquiries AI has evoked worldwide. Situating AI in the long history of machines, automation, and human engagement with technologies, the class encourages students to think critically about the "transformations" AI made to society. Central to our exploration will be the fundamental questions of what it means to be "human" in a world where machines can mimic, and even surpass, human cognition in certain domains. Drawing parallels between diverse cultures and technologies, we will dissect how human-machine collaborations shape our perceptions of reality, authenticity, emotion, and creativity. Through examination of both Asian philosophies and theories of posthumanism, students will reflect upon the broader philosophical implications of a world where artificial and human intelligence coexist, intertwining and reshaping the very fabric of society, culture, and personal experience. Instructor: Gerui Wang.

This course delves into the rapidly evolving landscape of contemporary art as it intertwines with the advancements in artificial intelligence. Students will explore how artists from Asia and its diaspora are harnessing the capabilities of AI to redefine artistic expressions, appropriate traditional media and aesthetics, and interrogate the boundaries between human creativity and machine intelligence. Drawing upon case studies, hands-on experiments, and critical discussions, students will gain a deeper understanding of the sociocultural implications of AI-infused artistry and its impact on society. This course contextualizes its content in a global narrative, discussing challenging themes and existential inquiries AI has evoked worldwide. Situating AI in the long history of machines, automation, and human engagement with technologies, the class encourages students to think critically about the "transformations" AI made to society. Central to our exploration will be the fundamental questions of what it means to be "human" in a world where machines can mimic, and even surpass, human cognition in certain domains. Drawing parallels between diverse cultures and technologies, we will dissect how human-machine collaborations shape our perceptions of reality, authenticity, emotion, and creativity. Through examination of both Asian philosophies and theories of posthumanism, students will reflect upon the broader philosophical implications of a world where artificial and human intelligence coexist, intertwining and reshaping the very fabric of society, culture, and personal experience. Instructor: Gerui Wang.

This course delves into the rapidly evolving landscape of contemporary art as it intertwines with the advancements in artificial intelligence. Students will explore how artists from Asia and its diaspora are harnessing the capabilities of AI to redefine artistic expressions, appropriate traditional media and aesthetics, and interrogate the boundaries between human creativity and machine intelligence. Drawing upon case studies, hands-on experiments, and critical discussions, students will gain a deeper understanding of the sociocultural implications of AI-infused artistry and its impact on society. This course contextualizes its content in a global narrative, discussing challenging themes and existential inquiries AI has evoked worldwide. Situating AI in the long history of machines, automation, and human engagement with technologies, the class encourages students to think critically about the "transformations" AI made to society. Central to our exploration will be the fundamental questions of what it means to be "human" in a world where machines can mimic, and even surpass, human cognition in certain domains. Drawing parallels between diverse cultures and technologies, we will dissect how human-machine collaborations shape our perceptions of reality, authenticity, emotion, and creativity. Through examination of both Asian philosophies and theories of posthumanism, students will reflect upon the broader philosophical implications of a world where artificial and human intelligence coexist, intertwining and reshaping the very fabric of society, culture, and personal experience. Instructor: Gerui Wang.