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Artificial Intelligence And Economics: The Key ...

To win, AI must receive the necessary funding, at least 3.4% of the DOD budget. Those funds should then be channeled into priority areas as recommended by a steering committee consisting of the deputy defense secretary, the vice chairman of the Joint Chiefs of Staff and the principal director of national intelligence, he said, noting that a good first step was having the JAIC report directly to the deputy defense secretary.

Artificial Intelligence and Economics: the Key ...

DeepRacer Vehicle Naval Information Warfare Center Atlantic's Amazon Web Services DeepRacer vehicle is opened up for maintenance and a last minute check in North Charleston, S.C., March 19, 2021, before being shipped off to participate in the first annual virtual Army-Navy AWS DeepRacer Challenge. The challenge is centered around racing autonomous vehicles powered by artificial intelligence. Share: Share Copy Link Email Facebook Twitter LinkedIn WhatsApp var addthis_config = data_use_flash: false, data_use_cookies: false, ui_508_compliant: true, Download: Full Size (4.36 MB) Photo By: Joe Bullinger, Navy VIRIN: 210319-N-GB257-001X

This book aims to deal with the main advances in the study of artificial intelligence, the digital and circular economy and innovation from a multidisciplinary perspective. Whoever governs the artificial intelligence will hold the keys to the world and the future. This consideration explains the growing role of artificial intelligence in our lives and the need to understand its mechanisms.

This book presents original research articles addressing various aspects of artificial intelligence applied to economics, law, management, and optimization. The topics discussed include, economics, territorial policies, law, resource allocation strategies, information technology, and learning for inclusion.

Combining the input of contributing professors and researchers from Italian and other foreign universities, the book is of interest to students, researchers, and practitioners, as well as members of the public in general, interested in the world of the artificial intelligence and economics.

Artificial intelligence (AI) has the potential to transform economic growth, commerce, and trade, affecting the types of jobs that are available and skills that are needed. The United States, China, Japan, Germany, the United Kingdom, France, and others have recognized the opportunity and are supporting AI research and development as well as preparing their workforce.

International agenda: In the absence of international cooperation, AI ethical guidelines might reflect only local standards and norms, with discriminatory impacts on access to data and use of AI. The OECD is developing AI principles. The G-20 could also take up this issue. Even with a common baseline, it will be necessary to determine whether AI systems are built ethically or produce ethical outcomes. This raises trade issues such as in which country testing takes place and to what standards. These process issues should be part of international trade negotiations.Related ContentTechnology & InnovationThe impact of artificial intelligence on international tradeJoshua P. MeltzerThursday, December 13, 2018Technology & InnovationUsing big data and artificial intelligence to accelerate global developmentJennifer L. Cohen and Homi KharasThursday, November 15, 2018Technology & InnovationWhat is artificial intelligence?Darrell M. WestThursday, October 4, 2018

A focus on nurturing unique human skills that artificial intelligence (AI) and machines seem unable to replicate: Many of these experts discussed in their responses the human talents they believe machines and automation may not be able to duplicate, noting that these should be the skills developed and nurtured by education and training programs to prepare people to work successfully alongside AI. These respondents suggest that workers of the future will learn to deeply cultivate and exploit creativity, collaborative activity, abstract and systems thinking, complex communication, and the ability to thrive in diverse environments.

This report is part of "A Blueprint for the Future of AI," a series from the Brookings Institution that analyzes the new challenges and potential policy solutions introduced by artificial intelligence and other emerging technologies.

Artificial intelligence (AI) stands to have a transformative impact on international trade. Already, specific applications in areas such as data analytics and translation services are reducing barriers to trade. At the same time, there are challenges in the development of AI that international trade rules could address, such as improving global access to data to train AI systems. The following provides an overview of some of the key AI opportunities for trade as well as those areas where trade rules can help support AI development.

Private and public decisions related to labor markets and working conditions are increasingly being influenced by technological considerations. Spurred by a wave of technological developments related to digitization, artificial intelligence (AI), and automation, governments around the world have declared that the creation and deployment of these technologies present both important opportunities and challenges to their citizens.

From the point of view of these scholars, the latest wave of advanced technologies (i.e., digital technology, artificial intelligence (AI), and automation) is unlikely to affect labor markets nearly as much as the technological changes of prior generations.

Further refinements of the theory led to the classification of work based on combinations of cognitive, manual, routine, and non-routine task performance. More recently still, the recognition of advances in AI and related technologies has led to the suggestion that perception, creativity, and social intelligence are important cross-cutting characteristics of tasks, and recent work by OECD economists point to specific job tasks that may or may not fit into those categories (Arntz, Gregory, and Zierahn 2016).

Ideally, economists could determine ways to translate these total data into something like a hypothetical hourly rental price for the technology that could be compared to hourly worker compensation. For many products, there will not be a market rental price that could be collected for this exercise, and such a price would be artificially low, in any case, because it would exclude maintenance, repair, and monitoring. In limited cases, data on the productivity of machines could be used to compare to worker productivity at the same task, but we believe this is unlikely to be fruitful because machines and workers will likely be doing slightly different tasks and machines will likely be working with workers, making it impossible to allocate the value-added contributions of each. Still, the expenditure data and wage data can be used for a number of meaningful analytic exercises to better understand how technologies and workers interact, compete, and complement each other across tasks and industries.

Advances in artificial intelligence (AI) highlight its potential to affect productivity, growth, inequality, market power, innovation, and employment. This volume seeks to set the agenda for economic research on the impact of AI. Its focus is on the economic impact of machine learning, a branch of computational statistics that has driven the recent excitement around AI. The chapters also examine key questions on the economic impact of robotics and automation, as well as the potential economic consequences of a still-hypothetical artificial general intelligence. The volume covers four broad themes: AI as a general purpose technology; the relationship between AI, growth, jobs, and inequality; regulatory responses to changes brought on by AI; and the effects of AI on the way economic research is conducted. In featuring these themes, the volume provides several frameworks for understanding the economic impact of AI. It identifies a number of key open research questions in a variety of research areas.

A new study by Ducker Frontier revealed that Puerto Rico could create between 26 and 34 percent additional jobs with the successful implementation of artificial intelligence (AI) in the public and private sectors.

Investment and growth in the artificial intelligence market at large are expected to skyrocket through the next several years, according to Fortune Business Insights, which also reports that the sector will be worth over a trillion dollars by 2029.

Data has become a key input in modern economic production alongside land, capital, labor, and oil. It feeds artificial intelligence algorithms whose predictions power applications from driverless cars to drug testing to credit provision to ad targeting.

UNESCO embarked on a two-year process to elaborate this first global standard-setting instrument on the ethics of artificial intelligence in the form of a Recommendation, following the decision of its General Conference at its 40th session in November 2019.

24 renowned specialists with multidisciplinary and pluralistic expertise on the ethics of artificial intelligence were appointed by the Director-General of UNESCO to form an Ad Hoc Expert Group (AHEG), in March 2020.

The first version of the draft text of the Recommendation on the ethics of artificial intelligence prepared by the Ad Hoc Expert Group (AHEG) in May 2020 evolved substantively after an extensive online multi-stakeholder consultation process from the end of June to the beginning of August 2020. These consultations were crucial in the development of a comprehensive, inclusive and pluralistic draft text that will capture the interests, concerns and views of various stakeholders involved in AI.

Dwivedi, Y. K., Hughes, L., Ismagilova, E., et al. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https:// doi. org/ 10. 1016/j. ijinf omgt. 2019. 08. 002. 041b061a72


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