New publication in the International Journal of Social Robotics by Digital Life Institute members at Ontario Tech University, Andrea Slane and Isabel Pedersen! Older People’s Ethical Framing of Autonomy in Relation to Current and Future Consumer Technologies: The Case of Socially Assistive Robots Abstract - Development of Socially Assistive Robots (SARs) and other assistive smart technologies is commonly justified by casting aged care as approaching a crisis point, due to an aging population and ensuing strain on healthcare systems. Combined with older people’s overwhelming wish to avoid more formal care contexts for as long as possible, this confluence of factors positions SARs as means to extend independent living, and so has inspired commercial developers to market their devices directly to older consumers. Preserving respect for the ethical principle of autonomy has been central to discussion of SARs in aged care settings, some of which incorporates the ethical views of older people. Since consumer SARs are claiming to integrate into older people’s digital device consumption practices, this article argues that more attention needs to be paid to what autonomy means to older peoples as digital technology consumers. Through analysis of marketing materials and two qualitative studies focused on how older people think about potential use of consumer SARs, the participants' ethical reasoning on autonomy is revealed to be informed by a sociotechnical discourse that on the one hand aligns with common cultural imaginaries of aging, but on the other displays a range of orientations towards consumer digital technology use on individual, collective and societal levels. The article contributes to the field a novel and nuanced understanding of the value of autonomy held by older people and their ethical reasoning concerning future consumer information technologies such as SARs. https://lnkd.in/gV8vJAX5
Digital Life Institute
Research Services
Toronto, Ontario 124 followers
International network researching the impact of AI and emergent tech on people, hosted by Ontario Tech U since 2020
About us
Digital Life Institute is a community of researchers examining the human and social dimensions of digital technologies, artificial intelligence (AI), and future-proposed technology to advance our understanding of their impact on humans. With its lead partner school at Ontario Tech University, it is a hub for the critical analysis of digital technologies, an international network of interdisciplinary scholars interested in the social implications of disruptive technological advancement. The Institute will use strong international partnerships and collaborations to accelerate and advance Digital Life research, explore future landscapes for Digital Life research and communicate key findings for academic communities and the public.
- Website
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https://www.digitallife.org
External link for Digital Life Institute
- Industry
- Research Services
- Company size
- 11-50 employees
- Headquarters
- Toronto, Ontario
- Type
- Educational
- Founded
- 2020
Locations
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Primary
Toronto, Ontario, CA
Employees at Digital Life Institute
Updates
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Digital Life Institute reposted this
Call for papers for a special issue on AI and the planetary PolyCrisis: Climate, Sustainability, and Global Governance, in journal AI & Society I'm guest editor together with my amazing colleagues Leonie Bossert and Leonie Möck https://lnkd.in/ecUCdWsZ
AI & SOCIETY
link.springer.com
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As Canada invests in AI, Digital Life Institute approaches its fifth-year anniversary in 2025 with three AI research clusters dedicated to ethical alignment for the development of AI, the first of its kind at Ontario Tech University. We recognize and thank our partners University of Minnesota, Temple University, Texas Tech University, Concordia University, Ingenium Canada Science and Tech Museum, Tom Everrett, Ph.D. Thank you to SSHRC-CRSH for current funding on the ethical development and co-design of AI for equity-seeking communities to be led by Isabel Pedersen, Délon Alain Omrow, PhD, Andrea Slane, Mahadeo Sukhai, Andrew Iliadis & Ann Hill Duin. We recognize our cluster leaders and researchers for contributions in 2024 on AI and learning & education, work, labour, sustainability, arts, trust, hype, digital literacy, culture, privacy, autonomy, future tech, and other fields: Timothy MacNeill, Dr. Lesley Wilton, OCT, Daniel Hocutt, Nupoor Ranade, Ph.D., Dr. Mollie Stambler, Jason Tham, Gustav Verhulsdonck, Katlynne Davis, Rutwa Engineer, Jessica Campbell, Saveena (Chakrika) Veeramoothoo, Nathan Lloyd, Stephen Fonash, Shan XU, Cagdas Dedeoglu, Tanner Mirrlees, Patrick Hung, Alyson E. King, Peter Lewis, and Dr. Janette Hughes. Finally, we thank leaders at Ontario Tech Faculty of Social Science and Humanities, Dean Dr. Peter Stoett and Ontario Tech University President Dr. Steven Murphy, PhD, ICD.D for supporting Digital Life Institute. Innovation, Science and Economic Development Canada https://lnkd.in/gkN8TQkd
Canada to drive billions in investments to build domestic AI compute capacity at home
canada.ca
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Digital Life Institute reposted this
Delighted to be at Milieux Institute this morning for the 4th annual Stéfan Sinclair-CRIHN lecture with presentations by Isabel Pedersen and two graduate students, Corina MacDonald (Concordia University) and Alice Truc (Université de Montréal) The video of the event will be available shortly.
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Check out Digital Life Institute latest blog, Anticipating Writing’s Evolution: Insights from Writing Futures in the Age of Large Language Models https://lnkd.in/gN88gFZp
Anticipating Writing's Evolution: Insights from Writing Futures in the Age of Large Language Models - Digital Life Institute
https://www.digitallife.org
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Digital Life Institute reposted this
🎉 Honored to have spoken at the 14th Celebration of Women in Computing Conference at York University in Toronto! It was inspiring to connect with so many talented students and researchers dedicated to advancing NLP, machine intelligence, and tech innovation. Grateful for the opportunity to share insights and support the next generation of women in computing. Together, we can push the boundaries of what's possible in tech! 🌟💻 #WomenInSTEM #NLP #TechInspiration #YorkU #WomenInComputing #cancwic Mariana Akemi Shimabukuro Stacey Koornneef Bridget Green Riddhi More The #1 question from students around Canada is "How do I take the award-winning multilingual NLP course?"
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Digital Life Institute featured its researchers at the 2024 annual meetings with concentration on the AI and Advocacy Challenge & Digital Life research frameworks. We are grateful for the work of our leads Ann Hill Duin University of Minnesota, Dr. Lesley Wilton, OCT University of Toronto, Délon Alain Omrow, PhD, Tim MacNeill, & Isabel Pedersen, Ontario Tech Faculty of Social Science and Humanities. We recognize our presenters: Dr. Mollie Stambler, James Madison University, School of Writing, Rhetoric and Technical Communication, Dr. Katlynne Davis, College of Arts and Sciences, University of St. Thomas Dr. Daniel Hocutt, School of Professional and Continuing Studies, University of Richmond Dr. Saveena (Chakrika) Veeramoothoo, Technical Communication, University of Houston-Downtown Downtown Dr. Lesley Wilton, OCT Wilton, Ontario Institute for Studies in Education of the University of Toronto Professor Rutwa Engineer, University of Toronto Mississauga, Mathematical and Computational Sciences Dr. Taru Malhotra Malhotra, Faculty of Engineering, University of Waterloo Dr. Alyson E. King, Faculty of Social Science & Humanities. Ontario Tech University Dr. Délon Alain Omrow, PhD, Centennial College, Ontario Tech University One of the presentations discussed this recent publication: Beyond Digital Literacy: Investigating Threshold Concepts to Foster Engagement with Digital Life in Technical Communication Pedagogy, 2024, by Danielle Mollie Stambler, Nupoor Ranade, Ph.D., Daniel L. Hocutt, Stephen Fonash, Jessica Campbell, Ann Hill Duin, Isabel Pedersen, Jason Tham, Saveena (Chakrika) Veeramoothoo & Gustav Verhulsdonck
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Digital Life Institute reposted this
New edited book forthcoming in January --- ten detailed case studies of ecoviolence, broadly defined.
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Digital Life Institute members to present a talk on Technology and Trafficking: Risks and Prevention in the Digital Age 24-hour Conference on Global Organized Crime, October 30, 7:30PM Speakers: Julius Kaka , Shawna Hill , Délon Alain Omrow, PhD , Vanesa Singh and Isabel Pedersen About This Talk The aim of the proposed symposium is to explore the wicked problem of human trafficking, looking specifically at how human traffickers are incorporating digital technology into their criminal activity to trap and exploit people using deception, violence, or coercion. Traffickers are now leveraging digital technology to recruit and control their victims, using keywords on social media to identify potential victims and using generative artificial intelligence (AI) to isolate and track both victims and those willing to pay for them as labor or for sexual exploitation. This panel will offer intersectional testimonials from survivors of human trafficking, but also analyze human trafficking AI-prevention technologies. https://lnkd.in/g2R2Um72
24-hour Conference on Global Organized Crime
oc24.heysummit.com
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Congratulations Dr. Geoffrey E. Hinton, 2024 #NobelPrize, University of Toronto!
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.” This year’s two Nobel Prize laureates in physics have used tools from physics to develop methods that are the foundation of today’s powerful machine learning. John Hopfield created an associative memory that can store and reconstruct images and other types of patterns in data. Geoffrey Hinton invented a method that can autonomously find properties in data, and so perform tasks such as identifying specific elements in pictures. When we talk about artificial intelligence, we often mean machine learning using artificial neural networks. This technology was originally inspired by the structure of the brain. In an artificial neural network, the brain’s neurons are represented by nodes that have different values. These nodes influence each other through connections that can be likened to synapses and which can be made stronger or weaker. The network is trained, for example by developing stronger connections between nodes with simultaneously high values. This year’s laureates have conducted important work with artificial neural networks from the 1980s onward. John Hopfield invented a network that uses a method for saving and recreating patterns. We can imagine the nodes as pixels. The Hopfield network utilises physics that describes a material’s characteristics due to its atomic spin – a property that makes each atom a tiny magnet. The network as a whole is described in a manner equivalent to the energy in the spin system found in physics, and is trained by finding values for the connections between the nodes so that the saved images have low energy. When the Hopfield network is fed a distorted or incomplete image, it methodically works through the nodes and updates their values so the network’s energy falls. The network thus works stepwise to find the saved image that is most like the imperfect one it was fed with. Geoffrey Hinton used the Hopfield network as the foundation for a new network that uses a different method: the Boltzmann machine. This can learn to recognise characteristic elements in a given type of data. Hinton used tools from statistical physics, the science of systems built from many similar components. The machine is trained by feeding it examples that are very likely to arise when the machine is run. The Boltzmann machine can be used to classify images or create new examples of the type of pattern on which it was trained. Hinton has built upon this work, helping initiate the current explosive development of machine learning. Learn more Press release: https://bit.ly/4gCTwm9 Popular information: https://bit.ly/3Bnhr9d Advanced information: https://bit.ly/3TKk1MM