scholarly journals Artificial Intelligence for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline

AI Magazine ◽  
2020 ◽  
Vol 41 (4) ◽  
pp. 3-16
Author(s):  
Andrew Perrault ◽  
Fei Fang ◽  
Arunesh Sinha ◽  
Milind Tambe
Keyword(s):  
Artificial Intelligence ◽  
Multiagent Systems ◽  
Research Agenda ◽  
Social Impact ◽  
Wildlife Conservation ◽  
Lessons Learned ◽  
Social Injustice ◽  
Systems Research ◽  
The World ◽  
Societal Problems

With the maturing of artificial intelligence (AI) and multiagent systems research, we have a tremendous opportunity to direct these advances toward addressing complex societal problems. In pursuit of this goal of AI for social impact, we as AI researchers must go beyond improvements in computational methodology; it is important to step out in the field to demonstrate social impact. To this end, we focus on the problems of public safety and security, wildlife conservation, and public health in low-resource communities, and present research advances in multiagent systems to address one key cross-cutting challenge: how to effectively deploy our limited intervention resources in these problem domains. We present case studies from our deployments around the world as well as lessons learned that we hope are of use to researchers who are interested in AI for social impact. In pushing this research agenda, we believe AI can indeed play an important role in fighting social injustice and improving society.

New Financial Technologies, Cryptocurrencies, Blockchain, and Challenges

2020 ◽  
pp. 85-102
Author(s):  
Burcu Sakiz
Keyword(s):  
Information Systems ◽  
Technological Innovation ◽  
Research Agenda ◽  
The Internet ◽  
Blockchain Technology ◽  
Systems Research ◽  
Information Systems Research ◽  
The World ◽  
Start Ups

As technological innovation transforms our economies, companies and start-ups all over the world are performing developments on financial technologies called “FinTech/fintech” for a chance to thrive. It even sparked the invention of blockchain and the inception of cryptocurrencies (digital/virtual money) such as Bitcoin. The blockchain technology provides Bitcoin's public ledger, an ordered and timestamped record of transactions. Blockchain is one of a kind decentralized technology mainly used by fintechs and it is a distributed as well as decentralized ledger that presents a radical, new, modern, and disruptive way of conducting all manner of transactions over the internet. Blockchain-based applications provide many opportunities to create a more sustainable world. With this research agenda, this chapter contributes to the discussion on future avenues for sustainability and information systems research on fintechs, especially cryptocurrencies and blockchain-based platforms and services.

The Knowledge Economy and Social Impact

2022 ◽  
pp. 85-90
Author(s):  
Fabian Koss ◽  
Giulia D'Amico
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Economy ◽  
Social Impact ◽  
New Technologies ◽  
Online Courses ◽  
The World ◽  
Definition Of ◽  
Google Search ◽  
Global Initiatives ◽  
Vision Care

There is not a one-size-fits-all definition of “social impact.” In fact, in a Google search for “What is social impact?” more than 400 results appear. This chapter will highlight global initiatives led by OneSight, an NGO that is utilizing new technologies to combat the vision care crisis, and CanopyLAB, a software company that has teamed up with over 120 NGOs around the world to create and provide online courses utilizing artificial intelligence.

scholarly journals Rise Up: Understanding Youth Social Entrepreneurs and Their Ecosystems

2020 ◽  
pp. 074391562093770 ◽  
Author(s):  
Melissa G. Bublitz ◽  
Lan Nguyen Chaplin ◽  
Laura A. Peracchio ◽  
Ashley Deutsch Cermin ◽  
Mentor Dida ◽  
...  
Keyword(s):  
Climate Change ◽  
Social Entrepreneurship ◽  
Social Impact ◽  
Well Being ◽  
Social Entrepreneur ◽  
Social Entrepreneurs ◽  
Policy Makers ◽  
The World ◽  
Societal Problems ◽  
Transformative Consumer Research

This research focuses on youth social entrepreneurs who are leading ventures that address pressing societal problems including climate change, gun reform, and social justice. It answers Journal of Public Policy & Marketing’s call for more research in marketing on social entrepreneurship. Consistent with the mission of Transformative Consumer Research to enhance individual and societal well-being, this research explores how the dynamic ecosystem of youth social entrepreneurs empowers them to rise up to transform people, communities, and the future for the better. The authors partnered with 20 established youth social entrepreneurs who have founded social impact initiatives as well as two organizations that support youth social entrepreneurs, Ashoka and Future Coalition, to develop a framework for understanding the ecosystem that encourages youth social entrepreneurs to enhance people’s well-being and make the world a better place. This framework integrates the experiences of these youth social entrepreneur partners and extant literature in marketing and related disciplines to provide guidance that can help researchers, policy makers, educators, and parents design an environment to support the success of youth social entrepreneurs.

Between Power and Irrelevance

2020 ◽  
Author(s):  
George E. Mitchell ◽  
Hans Peter Schmitz ◽  
Tosca Bruno-van Vijfeijken
Keyword(s):  
Organizational Change ◽  
Lessons Learned ◽  
Nongovernmental Organization ◽  
Change Processes ◽  
Transformative Change ◽  
Research Projects ◽  
Organizational Changes ◽  
The World ◽  
The Future ◽  
Societal Problems

Geopolitical shifts, increasing demands for accountability, and growing competition have been driving the need for change within the transnational nongovernmental organization (TNGO) sector. Additionally, TNGOs have been embracing more transformative strategies aimed at the root causes, not just the symptoms, of societal problems. As the world has changed and TNGOs’ ambitions have expanded, the roles of TNGOs have begun to shift and their work has become more complex. To remain effective, legitimate, and relevant in the future necessitates organizational changes and investments in new capabilities. However, many organizations have been slow to adapt. As a result, for many TNGOs’ the rhetoric of sustainable impact and transformative change has far outpaced the reality of their limited abilities to deliver on their promises. This book frankly explores why this gap between rhetoric and reality exists and what TNGOs can do individually and collectively to close it. In short, TNGOs need to change the fundamental conditions under which they themselves operate by bringing their own “forms and norms” into better alignment with their contemporary ambitions and strategies. This book offers accessible future-oriented analyses and lessons-learned to assist readers in formulating and implementing organizational changes to adapt TNGOs for the future. The book draws upon a variety of disciplines and perspectives, including hundreds of interviews with TNGO leaders, firsthand involvement in major organizational change processes in leading TNGOs, and numerous workshops, training institutes, consultancies, and research projects.

New Financial Technologies, Cryptocurrencies, Blockchain, and Challenges

2021 ◽  
pp. 32-49
Author(s):  
Burcu Sakiz
Keyword(s):  
Information Systems ◽  
Technological Innovation ◽  
Research Agenda ◽  
The Internet ◽  
Blockchain Technology ◽  
Systems Research ◽  
Information Systems Research ◽  
The World ◽  
Start Ups

As technological innovation transforms our economies, companies and start-ups all over the world are performing developments on financial technologies called “FinTech/fintech” for a chance to thrive. It even sparked the invention of blockchain and the inception of cryptocurrencies (digital/virtual money) such as Bitcoin. The blockchain technology provides Bitcoin's public ledger, an ordered and timestamped record of transactions. Blockchain is one of a kind decentralized technology mainly used by fintechs and it is a distributed as well as decentralized ledger that presents a radical, new, modern, and disruptive way of conducting all manner of transactions over the internet. Blockchain-based applications provide many opportunities to create a more sustainable world. With this research agenda, this chapter contributes to the discussion on future avenues for sustainability and information systems research on fintechs, especially cryptocurrencies and blockchain-based platforms and services.

scholarly journals Fei-Fei Li: Artificial Intelligence is on its way to reshape the world

2017 ◽  
Vol 4 (3) ◽  
pp. 490-492
Author(s):  
Yi Zeng ◽  
Ling Wang
Keyword(s):  
Artificial Intelligence ◽  
Traffic Control ◽  
Computational Models ◽  
Deep Neural Networks ◽  
The Past ◽  
The Neural Network ◽  
The World ◽  
Speed Up ◽  
The One ◽  
Societal Problems

Abstract Fei-Fei Li, a well-known scientist focusing on computer vision and Artificial Intelligence (AI), did not expect such zeal in China about AI. During her last visit to Beijing, the professor of Stanford University drew much attention from both academy and industry here; NSR took the opportunity to interview Professor Li. She points out that, although the neural network has made marvelous advances in the past 15–20 years, there are still enormous challenges ahead. On the one hand, computational models for AI, such as many current deep neural networks, have theoretical bottlenecks to resolve, such as interpretability and explainability; on the other hand, AI should offer more in solving societal problems and in accelerating innovation in industries such as healthcare, traffic control and agriculture. This would be a more practical way to realize the potential and speed up the advancement of AI. Moreover, Prof. Li is interested but cautious about Artificial General Intelligence (AGI).

scholarly journals Research on the Social Impact of Artificial Intelligence and Government’s Coping Strategies

2020 ◽  
pp. 114-123
Author(s):  
Weili Tian
Keyword(s):  
Artificial Intelligence ◽  
Social Life ◽  
Social Impact ◽  
Rapid Development ◽  
Human Society ◽  
Chinese Media ◽  
New Era ◽  
The World ◽  
The Face ◽  
Intelligence Development

“Artificial intelligence” is one of the most popular buzzwords in the society at present, and was selected as the “Top Ten Chinese Media Popularity in 2017”. Human society is gradually entering a new era of artificial intelligence. Artificial intelligence is not just a scientific and technological innovation, but will bring about a big change in social life. As the State Council’s “New Generation Artificial Intelligence Development Plan” pointed out: “The rapid development of artificial intelligence will profoundly change human social life and change the world.” In the face of the new situation in the new era, governments at all levels must take the initiative to seek change and change, firmly grasp the major historical opportunities for the development of artificial intelligence, keep abreast of development, research and judge the general trend, actively plan, grasp the direction, seize the opportunities, and lead the world in the development of artificial intelligence. The trend, serving economic and social development and supporting national security, drives the overall leap and leapfrog development of national competitiveness.

From PUFF to integrated concurrent engineering: A personal evolution

2007 ◽  
Vol 21 (1) ◽  
pp. 19-22
Author(s):  
JOHN KUNZ
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Multiagent Systems ◽  
Concurrent Engineering ◽  
Design Method ◽  
The Past ◽  
The World ◽  
Engineering Models ◽  
Early Puff

Artificial intelligence (AI) emerged from the 1956 Dartmouth Conference. Twenty-one years later, my colleagues and I started daily operational use of what we think became the first application of AI to be used in practice: the PUFF pulmonary function system. We later described the design and initial performance of that system (Aikins et al., 1983; Snow et al., 1998). Today, easily recognizable descendants of that first “expert system” run on commercial products found in medical offices around the world (http://www.medgraphics.com/datasheet_pconsult.html), as do many other AI applications. My research now focuses on integrated concurrent engineering (ICE), a computer and AI-enabled multiparticipant engineering design method that is extremely rapid and effective (Garcia et al., 2004). This brief note compares the early PUFF, the current ICE work, and the modern AI view of neurobiological systems. This comparison shows the dramatic and surprising changes in AI methods in the past few decades and suggests research opportunities for the future. The comparison identifies the continuing crucial role of symbolic representation and reasoning and the dramatic generalization of the context in which those classical AI methods work. It suggests surprising parallels between animal neuroprocesses and the multihuman and multicomputer agent collaborative ICE environment. Finally, it identifies some of the findings and lessons of the intervening years, fundamentally the move to model-based multidiscipline, multimethod, multiagent systems in which AI methods are tightly integrated with theoretically founded engineering models and analytical methods implemented as multiagent human and computer systems that include databases, numeric algorithms, graphics, human–computer interaction, and networking.

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