Los proyectos de esta guía utilizan un enfoque centrado en los alumnos para el aprendizaje. En lugar de solo aprender acerca de la IA con videos o conferencias, los alumnos que realizan estos proyectos son participantes activos en la exploración de ella. En el proceso, los estudiantes trabajarán directamente con tecnologías innovadoras de IA, participarán en actividades no en línea para ampliar su comprensión de cómo funcionan las tecnologías de IA y crearán diversos productos auténticos
desde modelos de aprendizaje automático hasta videojuegos— para demostrar su aprendizaje.

PROYECTO 1: Programación con aprendizaje automático
PROYECTO 2: Jugadores asistidos por IA en videojuegos
PROYECTO 3: Uso de la IA para planificar movimientos robóticos
PROYECTO 4: El aprendizaje automático como un servicio

Esta guía ofrece proyectos centrados en los alumnos que pueden enseñar directamente estándares de áreas de estudio en conjunto con comprensiones fundamentales de los que es la IA, cómo funciona y cómo impacta a la sociedad. Fueron considerados varios enfoques clave para diseñar estos proyectos. Entender estos enfoques sustentará su comprensión y la implementación de los proyectos de esta guía, así como su trabajo para diseñar más actividades que integren la enseñanza sobre la IA en su plan de estudios.

PROYECTO 1: Lo que la IA hace bien y lo que no hace tan bien
PROYECTO 2: Datos de entrenamiento y aprendizaje automático
PROYECTO 3: Los sentidos comparados con los sensores
PROYECTO 4: Navegación e IA

Esta guía ofrece proyectos centrados en los alumnos que pueden enseñar directamente estándares de áreas de estudio en conjunto con comprensiones fundamentales de los que es la IA, cómo funciona y cómo impacta a la sociedad. Fueron considerados varios enfoques clave para diseñar estos proyectos. Entender estos enfoques sustentará su comprensión y la implementación de los proyectos de esta guía, así como su trabajo para diseñar más actividades que integren la enseñanza sobre la IA en su plan de estudios.

PROYECTO 1: Chatbots de IA
PROYECTO 2: Desarrollo de una mirada crítica
PROYECTO 3: Uso de la IA para resolver problemas del medio ambiente
PROYECTO 4: Leyes para la IA

En esta guía, la exploración de la IA por parte de los alumnos se enmarca en el contexto de las consideraciones éticas, y en concordancia con los estándares, conceptos y profundidad adecuados para varias materias de K–12. Dependiendo del nivel de sus alumnos y la cantidad de tiempo que tenga disponible, puede completar todas las actividades de Inicio hasta las actividades de Demostraciones culminantes; puede seleccionar actividades de la lista; o puede llevar el aprendizaje de los alumnos más lejos, aprovechando las extensiones y recursos adicionales proporcionados. Para los alumnos sin experiencia previa de formación en la IA, la exposición misma a las actividades de aprendizaje guiadas creará una comprensión de su mundo que probablemente no tenían antes. Y para aquellos con conocimientos previos en informática o con la IA, los proyectos y recursos completos seguirán desafiando su razonamiento y los expondrán a nuevas tecnologías y aplicaciones de la IA en diversos campos de estudio.

PROYECTO 1: Lo justo es justo
PROYECTO 2: ¿Quién tiene el control?
PROYECTO 3: Las ventajas y desventajas de la tecnología de la IA
PROYECTO 4: La IA y el trabajador del siglo XXI

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Artificial intelligence is making rapid advances in medicine. Already, there are machine learning algorithms that can outperform doctors in some medical fields. There’s only one fairly big problem: experts aren’t quite sure how these algorithms work. While designers know full well what goes into the A-I systems they build and what comes out, the learning part in between is often too complex to comprehend. To their users, machine learning algorithms are effectively black boxes. Now, researchers from the RIKEN Center for Advanced Intelligence Project in Japan are lifting the lid. They’ve developed a deep-learning system that can outperform human experts in predicting whether prostate cancer will reoccur within one year. More importantly, the deep learning system they developed can acquire human-understandable features from unannotated pathology images to offer up critical clues that could help humans make better diagnoses themselves..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Quantum materials are opening up a realm of possibilities in materials research. Among the best known examples are superconductivity and quantum computing. But that’s only the beginning. The same properties that make these materials unique are also enabling researchers to demystify the inner workings of the human brain. So what makes quantum materials well suited for this purpose? Unlike the free-flowing electrons in ordinary conductors or semiconductors, electrons in quantum materials show correlated behavior. That in itself has been the focus of intense physics research. But the upshot for brain research is tunable electronic behavior that can mimic the electronic signaling of neurons and the synapses between them. Most importantly, quantum materials can simulate synaptic plasticity. Plasticity is the biological ability that makes learning and memory formation possible. It’s all about timing. Connections between neurons that fire within a short, milliseconds-long time window grow stronger..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

This Recommendation addresses ethical issues related to the domain of Artificial Intelligence to the extent that they are within UNESCO’s mandate. It approaches AI ethics as a systematic normative reflection, based on a holistic, comprehensive, multicultural and evolving framework of interdependent values, principles and actions that can guide societies in dealing responsibly with the known and unknown impacts of AI technologies on human beings, societies and the environment and ecosystems, and offers them a basis to accept or reject AI technologies. It considers ethics as a dynamic basis for the normative evaluation and guidance of AI technologies, referring to human dignity, well-being and the prevention of harm as a compass and as rooted in the ethics of science and technology.

Scott Young and Jason Clark (Montana State University) present 'Responsible AI: New tools for ethical implementation of artificial intelligence' during the AI & Professional Development session at the Fantastic Futures ai4LAM 2023 annual conference. This item belongs to: movies/fantastic-futures-annual-international-conference-2023-ai-for-libraries-archives-and-museums-02.

This item has files of the following types: Archive BitTorrent, Item Tile, MP3, MPEG4, Metadata, PNG, Thumbnail, h.264 720P, h.264 IA

The 2023 State EdTech Trends survey and report tracks how state education agencies and policymakers are adapting to a digital world post-pandemic while also identifying state priorities relating to technology and education.Conducted in collaboration with Whiteboard Advisors, the report includes responses from SETDA members, state superintendents, and other senior state officials from 45 states, the District of Columbia, the Department of Defense Education Activity (DoDEA), and Guam.The report complements the survey data with state spotlights that showcase the work states are leading to support cybersecurity efforts, the effective and equitable use of edtech tools, and the development of policy to guide the use of AI in K-12 classrooms.

The Sentinel-2 10m Land Use/Land Cover time-series is live on ArcGIS Living Atlas of the World! This map provides an annual assessment of yearly global land cover from 2017–2021, in 9 different land cover classes, at 10-meter resolution. The new time-series animates the natural and anthropogenic processes that continue to transform our planet's landscapes and resources, giving researchers, planners, and the GIS community the information they need to make critical future decisions.

Short Description:
Students in an undergraduate seminar in Cognitive Science share what they've learned, regarding the state of the field in AI research. While AI work is remarkable, even the most astonishing projects are a far cry from replicating human intelligence. Why is that? Well, for one, humans have yet to pin down their own intelligence.

Long Description:
Students in an undergraduate seminar in Cognitive Science share what they’ve learned, regarding the state of the field in AI research. While AI work is remarkable, even the most astonishing projects are a far cry from replicating human intelligence. Why is that? Well, for one, humans have yet to pin down their own intelligence. While work in AI may eventually point humans towards an answers to pressing questions regarding the nature of consciousness and matters of intelligence, at this present moment, the hard problem of consciousness is still that: a problem without a solution.

Word Count: 17607

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Several State Departments of Education have published guides for understanding issues around AI in education, including privacy, security, transparency, accessibility, and keeping humans at the center of learning. These and related resources are being curated on the #GoOpen Hub and are freely available and openly licensed.

Several State Departments of Education have published guides for understanding issues around AI in education, including privacy, security, transparency, accessibility, and keeping humans at the center of learning. These and related resources are being curated on the #GoOpen Hub and are freely available and openly licensed.

Several State Departments of Education have published guides for understanding issues around AI in education, including privacy, security, transparency, accessibility, and keeping humans at the center of learning. These and related resources are being curated on the #GoOpen Hub and are freely available and openly licensed.

Several State Departments of Education have published guides for understanding issues around AI in education, including privacy, security, transparency, accessibility, and keeping humans at the center of learning. These and related resources are being curated on the #GoOpen Hub and are freely available and openly licensed.

Several State Departments of Education have published guides for understanding issues around AI in education, including privacy, security, transparency, accessibility, and keeping humans at the center of learning. These and related resources are being curated on the #GoOpen Hub and are freely available and openly licensed.

Syllabus for the course "CSC 480: Artificial Intelligence" delivered at the College of Staten Island in Fall 2018 by Ernest Battifarano as part of the Tech-in-Residence Corps program.

Short Description:
Social media, digital devices, and networked communication systems have become fully integrated into our everyday living experience. This e-book touches upon the human experience of contemporary trends that affect how we perceive ourselves, others, and society.

Long Description:
Authored as a companion to COMM601 Trends in Digital & Social Media, Granite State College (USNH), Concord, NH.

Word Count: 25859

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

A Journey Through Trust, its Applications, Calculations and Limitations

Short Description:
This is a short book, written partly as a personal reflection and partly as a scientific text. It is aimed at undergraduate to graduate classes in Trust Systems, with applicability to other information security domains, as well as general audiences interested in knowing more about how trust and security work in computational systems without getting overly technical. It covers trust from basics through to introducing formalizations of trust, including journeys through blockchains and zero trust systems.

Word Count: 80673

ISBN: 978-1-7779195-0-4

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Peter Sullivan (University of British Columbia) presents 'UNESCO Radio Archives, AI for metadata description' during the Short Talks & Demos session at the Fantastic Futures ai4LAM 2023 annual conference. This item belongs to: movies/fantastic-futures-annual-international-conference-2023-ai-for-libraries-archives-and-museums-02.

This item has files of the following types: Archive BitTorrent, Item Tile, MP3, MPEG4, Metadata, PNG, Thumbnail, h.264 720P, h.264 IA