Posts Under: ai

Software & Information Industry Association (SIIA) Hosts January 25, 2019 Artificial Intelligence Event With George Washington University’s Institute For International Economics And The Institute For International Science And Technology

This well attended event entitled: “Artificial Intelligence: What Can be Learned from Other Countries Approaches?” can be viewed on YouTube here.   Professor Susan Aaronson provide a preview of her work on the topic which will be discussed in a paper entitled: “Data is a Development Issue.”  Some takeaways included the reality that there are no broadly generalizable studies on the impact of AI on job creation – in fact, available data can be used to posit both that it contributes to job loss or gain; cybersecurity will include an AI component; bias in AI is possible (just as it is in non-AI contexts), but it can be addressed; and, the AI use skills deficiency in people capable of an inter-disciplinary approach to AI use is both real but also an opportunity.  Given that McKinsey (among other estimates of the economic impact of AI) estimates that AI could deliver up to 16% higher global GDP by 2030, understanding and taking advantage of t ...

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Ethical Challenges of Artificial Intelligence

On November 13, I participated in the Federal Trade Commission’s workshop on Ethics and Common Principles in Algorithms, Artificial Intelligence, and Predictive Analytics along with James Foulds, an Assistant Professor at the University of Maryland, Baltimore County, Rumman Chowdhury, the Global Lead for Responsible AI at Accenture Applied Intelligence, Martin Wattenberg, a Senior Research Scientist at Google, Erika Brown Lee, Senior VP & Assistant General Counsel at MasterCard, and Naomi Lefkovitz, a Senior Privacy Policy Advisor at the National Institute of Standards and Technology.  The following commentary is based on my remarks and the discussion at the panel. In 2017, SIIA published its Ethical Principles for Artificial Intelligence and Data Analytics as a guide for companies as they develop and implement advanced data analytic systems.  There are many other such ethical principles including the famous Belmont principles of respect for persons, benefic ...

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BIMs Preview: What AI and Machine Learning Can Do for You

Artificial intelligence (AI) and machine learning are here and reshaping business. But AI isn’t just for tech companies and online retailers—it can be a force multiplier for smaller and mid-sized information companies by enabling them to take control of content and audience data by automating many of the manual tasks associated with maintaining that data and helping create personalized and meaningful experiences for customers.

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When it Comes to The Global AI Race, There is No Singular “Key” to Success

Yesterday, ITIF’s Center for Data Innovation held an event titled, “How Countries are Preparing for the Global AI Race.”  The panelists touched on the approaches that the United States, United Kingdom, Germany, China, and India are taking with respect to the development of AI.   As the panel progressed, it became clearer that there is no singular “key” to “winning” the global AI race. It is important to recognize that the challenges in AI advancement vary from country to country.  For example, China has a competitive advantage in terms of data, but it still has a considerable skills gap that is hindering that data from being utilized in an AI capacity.  According to panelist Robin Mishra of the German Embassy, Germany has a highly-skilled labor force and has invested a considerable amount in research and development, yet it lacks robust industry outside of manufacturing that can take advantage of further developing A ...

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The Future of Artificial Intelligence (AI) in Europe

The Software & Information Industry Association (SIIA) and the European Center for International Political Economy (ECIPE) hosted a stimulating June 19, 2018  panel discussion on “The Future of AI” in Brussels at ECIPE’s offices.   European Commission Policy Officer Andrea Glorioso, Delft University Professor Jeroen van den Hoven, Elsevier Senior Vice President  for Analytics for Research Products Elisabeth Ling, and Thomson Reuters Global Head of Risk Technology Management Solutions Alex Cesar provided perspectives on what it will take for the European Union to achieve the ambitious public and private and investment objectives it has set for itself in its April 25, 2018 Communication on Artificial Intelligence.  It was a privilege to moderate this event, and I thank ECIPE and the panelists for their participation.     Synopsis of Panelist Views Andrea Glorioso noted that the Commission has specifically opted not to pr ...

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