Artificial Intelligence Classifiers and Their Social Impact

2001 ◽  
pp. 170-194
Author(s):  
J. Carlos Aguado Chao
Keyword(s):  
Artificial Intelligence ◽  
Social Impact

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 Social Impact Returns. Filling the Finance Gap with Data Value

2021 ◽  
Author(s):  
Amparo Marin de la Barcena Grau
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Social Impact ◽  
Resource Scarcity ◽  
Digital Transformation ◽  
Growth Strategy ◽  
Financial Risks ◽  
Common Value ◽  
Use Of Data ◽  
Data Value

Sustainability, regulation and environmental issues such as climate change and resource scarcity are emerging as key trends with decisive impact on company’s Risk management, value creation and growth strategy. This combination represents one of the biggest opportunities to Society as a whole, including organizations, Governments and citizens. Typically, companies possess vast amounts of data, most of it unutilized. Many are now making investments in digital transformation, which generates even more data. The issue is how to generate social impact returns. The use of data and data analytics is centuries old, but with Artificial Intelligence (AI), Machine Learning (ML), jointly with other distributed ledger technologies (Blockchain, Cloud) that are advancing rapidly, there are major opportunities to capture value better, cheaper and faster. Speed is of the essence, and success depends on how fast organizations understand the need for non-financial risks management and respond to data-driven intelligence by reallocating resources to accomplish what needs to be done more efficiently. The reason for impact returns is understanding the benefit as a common value, not exclusive to companies, but it also has to distribute value among individuals, communities, and why not, to contribute to regenerate our planet based on a new economy.

Analogie e mimesi tra scienze computazionali e sociologia: l'Intelligenza Artificiale in Achille Ardigň

2009 ◽  
pp. 85-98
Author(s):  
Giovanni Boccia Artieri
Keyword(s):  
Artificial Intelligence ◽  
Web 2.0 ◽  
Social Impact ◽  
Artificial Culture ◽  
Sociocultural Change ◽  
Social System Theory ◽  
The Social ◽  
Decision Making Processes ◽  
New Perspective ◽  
The One

- This essay is about the 80th-90th Italian sociological context when the second order cybernetic and the theory of the complexity introduced a new perspective. That context produced a convergence between social sciences and Artificial Intelligence (AI) theory. The paper focuses on 3 perspectives: 1. the sociocultural change: AI is a cultural approach that produces an imaginary about the mutation introduced by the informatic evolution. It opens people's concerns and hopes about the relation between "man" and cybernetic "machine". 2. The analogy between the theory that produces intelligence machines and the social system theory that thinks the society in an abstract and artificial way, by producing consequences on epistemological level and governance. 3. the social impact of the AI outputs in relational live and in the production of the reality. On the one hand the interest is about the Expert Systems that can support analytical and decision-making processes - here the risk is an emerging attitude to the abstract process rather then to the practices; on the other hand the interest is about two kinds of interactions: human-machine and human-machine-human.Keywords: Achille Ardigň, Artificial Intelligence, artificial culture, micromacro link, human-computer interaction, web 2.0.Parole chiave: Achille Ardigň, Intelligenza Artificiale, cultura dell'artificiale, micro-macro link, comunicazione uomo-macchina, web 2.0.

scholarly journals AI at the Margins: Data, Decisions, and Inclusive Social Impact

2019 ◽  
Author(s):  
Bryan Wilder
Keyword(s):  
Artificial Intelligence ◽  
Social Impact ◽  
Underserved Populations ◽  
Well Being ◽  
Optimization Methods ◽  
Financial Resources ◽  
Limited Resources ◽  
Limited Information ◽  
Marginalized Communities ◽  
Algorithmic Approaches

Artificial intelligence holds tremendous promise to improve human well-being. However, AI techniques are typically developed for the benefit of those with access to technological and financial resources. A critical but understudied question is how AI can benefit marginalized communities who lack such resources. Governments and communities worldwide use a range of interventions to tackle social problems such as homelessness and disease, improving access to opportunity for underserved populations. My research develops machine learning and optimization methods to empower such interventions, which are almost always deployed with limited resources and limited information. Maximizing impact in this context requires algorithmic approaches which span the full pipeline from data to decisions. My dissertation presents a set of both technical and application-oriented contributions towards this goal. 

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.

scholarly journals Management perspective of ethics in artificial intelligence

AI and Ethics ◽  
2020 ◽  
Author(s):  
Josef Baker-Brunnbauer
Keyword(s):  
Artificial Intelligence ◽  
Social Impact ◽  
Research Study ◽  
Research Question ◽  
Service Development ◽  
Central Research ◽  
The Social ◽  
Management Perspective ◽  
Moral Ethics ◽  
Start Ups

AbstractThis research addressed the management awareness about the ethical and moral aspects of artificial intelligence (AI). It is a general trend to speak about AI, and many start-ups and established companies are communicating about the development and implementation of AI solutions. Therefore, it is important to consider different perspectives besides the technology and data as the key elements for AI systems. The way in which societies are interacting and organising themselves will change. Such transformations require diverse perspectives from the society and particularly from AI system developers for shaping the humanity of the future. This research aimed to overcome this barrier with the answers for the question: What kind of awareness does the management of AI companies have about the social impact of its AI product or service? The central research question was divided into five sub-questions that were answered by a fundamental literature review and an empirical research study. This covered the management understanding of the terms moral, ethics, and artificial intelligence; the internal company prioritization of moral and ethics; and the involved stakeholders in the AI product or service development. It analysed the known and used ethical AI guidelines and principles. In the end, the social responsibility of the management regarding AI systems was analysed and compared.

scholarly journals “HEY GOOGLE, HELP ME LEARN” Voice Assistant Devices in the New Zealand Primary School

2021 ◽  
Author(s):  
◽  
Laura Butler
Keyword(s):  
Artificial Intelligence ◽  
New Zealand ◽  
Primary School ◽  
Technology Acceptance ◽  
Classroom Environment ◽  
Social Impact ◽  
Ease Of Use ◽  
Classroom Environments ◽  
Teacher Interviews ◽  
Social Use

<p>Artificial intelligence is being embedded into home devices and these have the potential to be useful tools in the classroom. Voice assistant devices such as Google Home or Alexa can respond to verbal instructions and answer questions using the Internet of Things, web-scraping or native programming. This research explores student use of voice assistant devices in the context of two senior primary school classrooms in New Zealand. A socio-material approach is taken, examining the devices in existing classroom environments and how the children use these devices without teacher prompting. The research is framed within the Technology Acceptance Model 2 (Venkatesh et al., 2003). Student’s perception of the device’s usefulness, ease of use, and the subjective norm and social impact of using the device in each classroom environment is discussed. The research questions examined were what and how do students ask the devices, and how accurate the devices are in answering their enquiries. Data were gathered for two case studies from device transcripts over six weeks and teacher interviews. Findings suggest that the students found the devices usable, useful and interesting to challenge and explore. Reliable responses for basic literacy, numeracy, and social studies enquiries were recorded, however, the ability of the device to understand student enquiries was variable and the device was limited by a lack of pedagogical techniques and knowledge of learner needs. Evident in the data were students’ social use, perseverance and anthropomorphism of the devices. The implications of this research are that voice-activated artificial intelligence devices can support learners in classroom environments by promoting perseverance, independence, and social learning.</p>

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