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Begin New Search Topic Artificial Intelligence Publishing Institution Aspen Institute

1. Artificial Intimacy

Author:
Aspen Digital
Publication Date:
04-2020
Content Type:
Working Paper
Institution:
Aspen Institute
Abstract:
For all of the gains that artificial intelligent (AI) systems allow, society is only now beginning to orient itself to the tremendous ethical and political issues emerging as a result of AI’s prevalence in our society. For example, recent critiques of facial recognition software bring to light issues of algorithmic bias, data irregularities, human rights violations, and government surveillance. In response, various principles and values-based governance models are furiously being developed to direct the future of AI design. The report of the 2020 Aspen Institute Roundtable on Artificial Intelligence explored the intersection of human intimacy and artificial intelligence, investigating how different human-machine relationships may affect the development of human behavior and emotions.
Topic:
Science and Technology, Emotions, Artificial Intelligence, Behavior, Robotics, and Emerging Technology
Political Geography:
Global Focus

2. NextGen Network Key Takeaways: Prague, Czech Republic

Author:
Aspen Institute
Publication Date:
03-2019
Content Type:
Working Paper
Institution:
Aspen Institute
Abstract:
Aspen Central Europe hosted the Network in Prague in January 2019, with participants from Hungary, Poland, Slovakia, and the Czech Republic. Participants emphasized that there should be a focus on mapping where exactly AI can support existing professions, create new ones, but most importantly streamline the education system towards current trends and lifelong learning. It is essential to speed up the adoption of AI in Europe, as well as connect it with major challenges in society, such as tackling climate change or innovating healthcare, where, for example, AI can be explained by its promoters as a way of delivering better services rather than merely introducing a new technology.
Topic:
Climate Change, Science and Technology, Health Care Policy, and Artificial Intelligence
Political Geography:
Europe, Czech Republic, and Central Europe

3. Worker Training Tax Credit: Promoting Employer Investments in the Workforce

Author:
Alastair Fitzpayne and Ethan Pollack
Publication Date:
08-2018
Content Type:
Working Paper
Institution:
Aspen Institute
Abstract:
Rapid advances in technology, including artificial intelligence and automation, are transforming industries and reshaping the skills necessary to secure and keep a job. In response, U.S. workers will need to acquire skills that are not easily automated or that complement ever-changing technology. Yet, data suggest an alarming trend: there is a steady decline in the amount employers are investing in their workforce.[1] Federal and state policymakers should consider using tax incentives to encourage additional workforce training investments. To accomplish this, in May 2017 the Future of Work Initiative proposed the Worker Training Tax Credit. Modeled on the popular Research and Development (R&D) Tax Credit, this new tax credit could be used by small and large businesses to invest in training for their low- and middle-income workers. Based on economic modeling recently conducted by District Economics Group, the Worker Training Tax Credit would cost roughly $146.5 million over ten years, and lead businesses to increase training investments by 8.5 percent. Because the tax credit excludes training provided to high-income workers, these induced training investments would provide greater opportunity to low- and middle-income workers.
Topic:
Science and Technology, Employment, Tax Systems, Artificial Intelligence, and Skilled Labor
Political Geography:
North America and United States of America