The current corporate governance models of today’s organizations are unfit for organizations of the future, and even today. What does this mean for directors and the management? Let’s have a look into the future, divided into long-term, middle-term, and short-term future lenses.

15. Brave New World: Ethical Considerations and Risks

The trifecta of globalization, urbanization and digitization have created new opportunities and challenges across our nation, cities, boroughs and urban centers. Cities in particular are in a unique position at the center of commerce and technology becoming hubs for innovation and practical application of emerging technology. In this rapidly changing 24/7 digitized world, governments are leveraging innovation and technology to become more effective, efficient, transparent and to be able to better plan for and anticipate the needs of its citizens, businesses and community organizations. This class will provide the framework for how cities and communities can become smarter and more accessible with technology and more connected.

Short Description:
This book is the result of a co-design project in a class in the Masters of Education program at the University of Calgary. The course, and the resulting book, focus primarily on the safe and ethical use of technology in digital learning environments. The course was organized according to four topics based on Farrow’s (2016) Framework for the Ethics of Open Education.This is the first of 2 Versions of this pressbook. Click on Volume 2 for information.

Long Description:
This book is the result of a co-design project in a class in the Masters of Education program at the University of Calgary. The course, and the resulting book, focus primarily on the safe and ethical use of technology in digital learning environments. The course was organized according to four topics based on Farrow’s (2016) Framework for the Ethics of Open Education. Students were asked to review, analyze, and synthesize each topic from three meta-ethical theoretical positions: deontological, consequentialist, and virtue ethical (Farrow, 2016). The chapters in this open educational resource (OER) were co-designed using a participatory pedagogy with the intention to share and mobilize knowledge with a broader audience. The first three chapters in the book discuss specific ethical considerations related to technologies such as Artificial Intelligence (AI) , social networking services (SNS), and 3D printing. The next four chapters shift to a broader discussion of resource sharing, adaptive learning systems, STEM, and assistive technologies. The final two chapters discuss admissions and communications that need to be considered from an institutional perspective. In each of the nine chapters, the authors discuss the connection to the value of technology in education, and practical possibilities of learning technologies for inclusive, participatory, democratic, and pluralistic educational paradigms.

Word Count: 56853

ISBN: 0-88953-438-1

(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.)

Short Description:
This book is the result of a co-design project in a class in the Masters of Education program at the University of Calgary. The course, and the resulting book, focus primarily on the safe and ethical use of technology in digital learning environments. The course was organized according to four topics based on Farrow’s (2016) Framework for the Ethics of Open Education.

Long Description:
Click on Volume 1 to read the first book in this series.

This book is the result of a co-design project in a class in the Masters of Education program at the University of Calgary. The course, and the resulting book, focus primarily on the safe and ethical use of technology in digital learning environments, and is the second volume in the series. The course was organized according to four topics based on Farrow’s (2016) Framework for the Ethics of Open Education. Students were asked to review, analyze, and synthesize each topic from three meta-ethical theoretical positions: deontological, consequentialist, and virtue ethical (Farrow, 2016). The chapters in this open educational resource (OER) were co-designed using a participatory pedagogy with the intention to share and mobilize knowledge with a broader audience. The first section, comprised of four chapters, focuses on topics relating to well-being in technology-enabled learning environments, including the use of web cameras, eproctoring software, video games, and access to broadband connectivity. The second section focuses on privacy and autonomy of learners and citizens in a variety of contexts from schools to clinical settings. In each of the seven chapters, the authors discuss the connection to the value of technology in education, and practical possibilities of learning technologies for inclusive, participatory, democratic, and pluralistic educational paradigms. The book concludes with reflections from the course instructor gained over two iterations of teaching the course.

Word Count: 40312

ISBN: 978-0-88953-472-8

(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.)

This video delves into the Ethics of AI in Education, catering specifically to students. Its purpose is to assist students in cultivating their own ethical standpoint concerning AI, drawing from pertinent information and factual insights into the realm of artificial intelligence. The content explores professional, educational, and personal perspectives, shedding light on both the pitfalls and benefits inherent in discussions about AI. This resource is designed to be utilized as a tool for initiating conversations among students before the commencement of a course. It serves to familiarize them with the landscape of policies surrounding AI within their courses or institutions.

Current formats provided include:
Youtube video
H5P Interactive Video (Includes bookmarks and a reflective question to answer.)

Preview and use this content:
Youtube video: https://youtu.be/ZVUaOfHqGck
H5P Module: https://h5p.org/node/1460884

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:

"Congenital heart defects affect approximately 1% of all babies born each year and account for almost 20% of all newborn deaths. Early diagnosis while still in the womb can greatly improve an affected baby’s chance of survival. Unfortunately, diagnosis relies exclusively on ultrasound imaging, where accurate readings aren’t guaranteed. Researchers in Japan are tackling this problem by enlisting the help of artificial intelligence. More importantly, they’re helping the doctors entrusted with patient care to understand how AI programs spot heart defects. Advancements in artificial intelligence have improved how congenital heart defects are diagnosed. Ultrasound videos of fetal hearts beating normally and others with structural defects can be studied with AI, which can then determine whether the fetal hearts in new videos are abnormal or not..."

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

Abigail Potter and Laurie Allen (Library of Congress) present 'Exploring Computational Description while Developing Responsible AI: An experiment to create MARC records from ebooks helps to define an AI planning and implementation framework' during the AI & Bibliographic Data session at the Fantasti... 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

This report from European Schoolnet Academy explores how professional development for teachers needs to change in the age of AI. From fostering an understanding of AI applications in education to equipping teachers with the requisite skills to leverage these technologies, our analysis aims to provide insights into how professional development can empower teachers to navigate the complexities of the changes brought about by AI.

This interactive lesson plan explores the role of Artificial Intelligence (AI) in education, focusing on its impact on teachers, the issue of plagiarism, and concerns regarding data privacy. Designed for intermediate-level students, this class aims to prove their communicative skills (speaking, listening, reading, and writing) while engaging with these relevant topics. The lesson incorporates digital tools such as news reports, Genially, and Educaplay for an engaging and interactive experience.

Asking the question, “What is human-computer interaction - artificial intelligence? Students come to understand what artificial intelligence is in most everyday life, discussing the privacy, pros and cons of this topic and exploring with artificial intelligence activities online. This lesson plan includes using the Google Vision Kit to explore various pre-loaded facial recognition programs and advance programming students can access the Python code, manipulate the code and test the changes.

In this unit, students explore synthetic media by creating a smartphone app that can speak in different voices by changing the rate and pitch of the speech. Students work in groups to present arguments about the possible future impacts of various types of deepfake media, including ones in commerce and assistive technology as well as those used in crime.

Educators can use this lesson to introduce students to coding, provide a basic understanding of artificial intelligence and machine learning, and prompt students to predict the possible future use and abuse of synthetic media in society.

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:

"Researchers from Japan and Massachusetts have devised a new way to estimate induction motor speed. Typically difficult to achieve for an object constantly in motion, that ability could lead to the construction of more efficient electric motors. Numerous industries literally run on induction motors. These electromagnetic engines are found in everything from small toys and appliances to giant construction equipment. One big improvement made to induction motor design in recent decades was the removal of the encoder—a fragile sensor that keeps tabs on the position and speed of the shaft during operation. Despite boosting engine efficiency and reducing size, this sensorless design can put performance at risk when trying to ensure smooth operation. And although indirect estimation methods have been developed, many are found to be lacking. Some, for example, assume rotor speed to be a constant parameter—which is hardly the case in practice..."

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

Harley Rogers (University of Mississippi) present 'Finding Consensus Where There Is None: Building Library AI Teams' during the AI & Implementation 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

UNESCO has published the Beijing Consensus on Artificial Intelligence (AI) and Education, the first ever document to offer guidance and recommendations on how best to harness AI technologies for achieving the Education 2030 Agenda. It was adopted during the International Conference on Artificial Intelligence and Education, held in Beijing from 16 – 18 May 2019, by over 50 government ministers, international representatives from over 105 Member States and almost 100 representatives from UN agencies, academic institutions, civil society and the private sector.

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:

"A new, fully automated approach could help spot faulty electric motors before they leave the production floor. Based on a popular machine-learning algorithm known as an autoencoder, this technique could prove invaluable to the numerous industries that produce electric motors, as well as those that rely on them. An autoencoder is an algorithm that distills, or encodes, input data down to a few key elements. It then decodes that information to reproduce the original data as closely as possible. At first glance, it might look like a simple cut-and-paste operation. But there’s more than meets the eye. The algorithm actually learns to pick out patterns that are fundamental to the structure of the original data set. For that reason, the tool is incredibly useful for cleaning up noisy data. Trained on a sufficiently large data set, an autoencoder can look at a muddled image and output a fair restoration. That ability, it turns out, is also valuable for telling a good electric motor from a bad one..."

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

William Weaver, Brad Ruhfel, Kyle Lough, and Stephen Smith (University of Michigan) present 'The Future of Natural History Transcription: Navigating AI Advancements with VoucherVision and the Specimen Label Transcription Project' during the AI & Bibliographic Data session at the Fantastic Futures ai... 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

This presentation is a part of the subjective assignment done for a MOOC course on Academic Writing in SWAYAM. This presentation gives a bird's eye view about how the technology is shaping the Banking industry in India and what are its advantages and limitations.

In this session we will discuss the potential of AI in generating dynamic content, including interactive textbooks, and its potential in developing open educational resources and practices. We will also engage in discussions about the legal and ethical considerations of both AI and open education including copyright, privacy, and open licensing. In this workshop we’ll dive into practical exercises, including the co-creation of a textbook chapter, demonstrating the real-world application of AI in OER.

This lesson centers around the How AI Works: Creativity and Imagination? video from the How AI Works video series. Watch this video first before exploring the lesson plan.

Diffusion models generate images. Diffusion AI converts an image to noise, and trains an AI to reverse the process. In this lesson, students learn how AI can generate images, then explore a diffusion AI widget. Finally, the class wraps up with a discussion about whether or not these models are creative.

This lesson can be taught on its own, or as part of a 7-lesson sequence on How AI Works. Duration: 45 minutes

A module for the course: CS 59974: Special Topics in Artificial Intelligence - "Machine Learning in Action". Delivered at the City College of New York in Spring 2020 by Hunter McNichols as part of the Tech-in-Residence Corps program.