WELLBEING AI RESEARCH INSTITUTE
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WELLBEING AI RESEARCH INSTITUTE
SOCIAL - RESOURCES
STARTUP: FDBK
Category: Social
FDBK creates better daters and partners through coaching
Hello better daters. Hello healthy relationships.
STARTUP: SCALES
Category: Social
Scales – Manage and automate people to people interactions
Scales helps companies build the future of work where people come first. We believe in the potential for automation and AI to improve how people strategy is designed, implemented and scaled. For the individual and the bottom line.
STARTUP: IRL
Category: Social
IRL – Do more together
IRL (which stands for “in real life”) is an app that makes it easy and fun to send and receive invites to hang out with friends in real life. The app also features a series of suggestions for invites that users can send, which change regularly based on users’ interests or location, seasons and upcoming holidays.
THE RISE OF SOCIAL ROBOTS: HOW AI CAN HELP US FLOURISH
Judging by the latest headlines, artificial intelligence (AI) is a double-edged sword with the power to create vast economic efficiencies while decimating jobs and industries.
Cynthia Breazeal, an associate professor of media arts and sciences at the Massachusetts Institute of Technology, focuses her research at the micro-level, exploring AI’s positive impacts on individuals in their everyday lives.
“I don’t think that AI will have fulfilled its full potential unless it can unlock human potential,” said Breazeal, one of several featured speakers at a recent academic conference about the intersection of technology and human psychology. “Can AI help us become who we aspire to be? Can it help us live not just more productive but better, more fulfilling lives?”
HOW AI WILL REWIRE US
Fears about how robots might transform our lives have been a staple of science fiction for decades. In the 1940s, when widespread interaction between humans and artificial intelligence still seemed a distant prospect, Isaac Asimov posited his famous Three Laws of Robotics, which were intended to keep robots from hurting us. The first—“a robot may not injure a human being or, through inaction, allow a human being to come to harm”—followed from the understanding that robots would affect humans via direct interaction, for good and for ill. Think of classic sci-fi depictions: C-3PO and R2-D2 working with the Rebel Alliance to thwart the Empire in Star Wars, say, or HAL 9000 from 2001: A Space Odyssey and Ava from Ex Machina plotting to murder their ostensible masters. But these imaginings were not focused on AI’s broader and potentially more significant social effects—the ways AI could affect how we humans interact with one another.
LONELINESS AND SOCIAL ISOLATION LINKED TO SERIOUS HEALTH CONDITIONS
Loneliness and social isolation in older adults are serious public health risks affecting a significant number of people in the United States and putting them at risk for dementia and other serious medical conditions.
RESEARCH PAPER: LONELINESS AND SOCIAL ISOLATION INTERVENTIONS FOR OLDER ADULTS
Fakoya, O.A., McCorry, N.K. & Donnelly, M. Loneliness and social isolation interventions for older adults: a scoping review of reviews. BMC Public Health 20, 129 (2020). https://doi.org/10.1186/s12889-020-8251-6
Loneliness and social isolation are growing public health concerns in our ageing society. Whilst these experiences occur across the life span, 50% of individuals aged over 60 are at risk of social isolation and one-third will experience some degree of loneliness later in life. The aim of this scoping review was to describe the range of interventions to reduce loneliness and social isolation among older adults that have been evaluated; in terms of intervention conceptualisation, categorisation, and components.
HOW AI CAN TACKLE COMPLEX SOCIAL PROBLEMS, FROM LONELINESS TO STIGMA
For many people, nothing sounds more tech-y than AI and machine learning. But the field is of rising interest in social sciences, too. Arezou Soltani Panah, a computer scientist and the winner of VentureBeat’s Women in AI rising star award, has made strides using AI technologies to tackle complex social problems such as loneliness, family violence, and social stigma. She’s even created novel machine learning techniques for this work, specifically.
“Traditional social science is a territory mostly occupied with qualitative researchers and empirical scientists, and perhaps they’re less aware of the benefits of AI for their field,” she told VentureBeat. “But the marriage between AI and social science has already been established and is evolving.”
RESEARCH PAPER: COLLABORATIVE LEARNING VIA SOCIAL COMPUTING
Alonso, R.S., Prieto, J., García, Ó. et al. Collaborative learning via social computing. Frontiers Inf Technol Electronic Eng 20, 265–282 (2019). https://doi.org/10.1631/FITEE.1700840
Educational innovation is a field that has been greatly enriched by using technology in its processes, resulting in a learning model where information comes from numerous sources and collaboration takes place among multiple students. One attractive challenge within educational innovation is the design of collaborative learning activities from the social computing point of view, where collaboration is not limited to student-to-student relationships, but includes student-to-machine interactions. At the same time, there is a great lack of tools that give support to the whole learning process and are not restricted to specific aspects of the educational task. In this paper, we present and evaluate context-aware framework for collaborative learning applications (CAFCLA) as a solution to these problems. CAFCLA is a flexible framework that covers the entire process of developing collaborative learning activities, taking advantage of contextual information and social interactions. Its application in the experimental case study of a collaborative WebQuest within a museum has shown that, among other benefits, the use of social computing improves the learning process, fosters collaboration, enhances relationships, and increases engagement.
RESEARCH PAPER: TRUSTING INTELLIGENT MACHINES: DEEPENING TRUST WITHIN SOCIO-TECHNICAL SYSTEMS
P. Andras et al., “Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems,” in IEEE Technology and Society Magazine, vol. 37, no. 4, pp. 76-83, Dec. 2018, doi: 10.1109/MTS.2018.2876107.
Intelligent machines have reached capabilities that go beyond a level that a human being can fully comprehend without sufficiently detailed understanding of the underlying mechanisms. The choice of moves in the game Go (generated by Deep Mind?s Alpha Go Zero) are an impressive example of an artificial intelligence system calculating results that even a human expert for the game can hardly retrace. But this is, quite literally, a toy example. In reality, intelligent algorithms are encroaching more and more into our everyday lives, be it through algorithms that recommend products for us to buy, or whole systems such as driverless vehicles. We are delegating ever more aspects of our daily routines to machines, and this trend looks set to continue in the future. Indeed, continued economic growth is set to depend on it. The nature of human-computer interaction in the world that the digital transformation is creating will require (mutual) trust between humans and intelligent, or seemingly intelligent, machines. But what does it mean to trust an intelligent machine? How can trust be established between human societies and intelligent machines?
VIDEO: ARTIFICIAL SOCIAL INTELLIGENCE
Artificial Social Intelligence – Microsoft Research
Breakthroughs in Artificial Intelligence (AI) have typically shown that AI systems are good at solving specific tasks that have a well-defined goal, such as Speech Recognition, Image Captioning, Games like Poker/Go/Jeopardy, among others. However, as AI systems become ubiquitous, it is not enough for them to solve specific tasks; rather they will have to continuously interact with human-users as well as other AI systems in a rapidly evolving environment. These systems will have to continuously review and evolve their interaction strategies during the ongoing interaction. Goals may not be defined in advance and might evolve dynamically. The systems have to ensure that apart from solving the primary task, the user receives a pleasant and professional experience that is ”socio-culturally appropriate”. In other words, we are quickly moving towards a world where AI systems have to go far beyond functional intelligence–they have to be socio-culturally adept and behaviorally intelligent. We refer to this phenomenon as “Artificial Social Intelligence” and the consequent systems as Socially Intelligent Agents.
VIDEO: ISOLATION IS THE DREAM KILLER
According to Barbara Sher we have to change our common understanding of why we so often fail to bring our dreams into reality – blaming bad attitude, negative thinking or lack of effort. Heartfelt, funny and surprising stories told by a lady who’s been helping other people’s dreams for many decades.
VIDEO: AI FOR SOCIAL GOOD
Keynote: AI for Social Good – Google
Yossi Matias, VP of Search & AI at Google, discusses examples of AI for social good applications and his view on the direction of the field.
VIDEO: SOCIAL ARTIFICIAL INTELLIGENCE
Social Artificial Intelligence | Justine Cassell – World Economic Forum
We need a different kind of Artificial Intelligence, with social reasoning, says Justine Cassell from Carnegie Mellon University. She says studying people’s social interactions, goals and desires can help us build better robots.
VIDEO: HOW SOCIAL TECHNOLOGY CAN MAKE US MORE HUMAN
Michelle Killebrew currently leads the go-to-market strategy for IBM Social Business, where her team focuses on messaging and solutions that define social business and demonstrate how organizations can embrace this next information revolution in the workforce. In this talk she describes why she believes social technologies can make us more human.
VIDEO: PREDICTING SOCIAL ENGAGEMENT OF SOCIAL IMAGES WITH DEEP LEARNING
Consumers spend an enormous amount of time on their social media channels. That’s why it is now the major focus of many marketing departments. So whether your marketing department tweets, snaps, shares, pins, or grams or all of the above your consumers are ever increasing there engagement with you through these channels. Social media is a visual medium.
So the image selection process should be a pretty sophisticated, right? How engaging are the images you use in your social marketing? Do you know which images or types of images will get the most engagement? McCush shows you how you can leverage the power of Artificial Intelligence (AI) to understand what types of images on your social channels can drive the most engagement. In this session, he demos AI Image classification process and show how these classes can be used to predict engagement.
VIDEO: HOW NEWS FEED ALGORITHMS SUPERCHARGE CONFIRMATION BIAS
VIDEO: WHAT DATING APPS AND ALGORITHMS DON’T TELL YOU!
The advent of ‘dating apps’ has revolutionized the dating scene across the globe. With each passing year, a larger percentage of men and women are searching for love online, to bypass the perceived hassles of regular in-person dates. But behind the swipes and matches, several hidden truths guide the game of dating.
Founder and CEO of LunchActually, Violet is the first Asian to be certified by the Matchmaking Institute in New York City. Violet has gained tremendous insight into the dating and matchmaking industry and is the pioneer in her field. She has appeared in over 4000 media coverages in top local and international media such as The Straits Times, ABC News 20|20, CNBC Asia, BBC, Bloomberg and Radio Australia. On top of her role as CEO and spokesperson of Viola.AI and Lunch Actually Group, Violet is serving as a Chapter President of Entrepreneurs’ Organization (EO) Singapore. She’s also a Winner at Women Entrepreneur Award 2017 in Singapore; an established award that recognizes her for her achievement in demonstrating outstanding entrepreneurial qualities.
BOOK: HUMAN + MACHINE
Human + Machine: Reimagining Work in the Age of AI – Paul R. Daugherty and H. James Wilson
Look around you. Artificial intelligence is no longer just a futuristic notion. It’s here right now–in software that senses what we need, supply chains that “think” in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?
In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization–whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly–or to completely reimagine them. AI is changing all the rules of how companies operate.
Based on the authors’ experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a “leader’s guide” with the five crucial principles required to become an AI-fueled business.
Human + Machine provides the missing and much-needed management playbook for success in our new age of AI.