Last month, legal publisher ALM introduced Legal Radar, a “first-of-its-kind website and app” that uses artificial intelligence and natural language generation to offer faster and more personalized user experiences.

The Atlantic Council hosted Confederation of British Industry (CBI) Director-General Dame Carolyn Fairbairn in Washington, D.C. on February 5, 2020 for a discussion about the UK’s global trading future post-Brexit. Dame Carolyn was supportive of the UK pursuing a new free trade agreement with the US that would include new standards for tech including ecommerce, fin-tech, and artificial intelligence (AI). She suggested that the OECD AI Principles would be a good place to start with respect to operationalizing high AI standards in a U.S.-UK trade deal. There is a lot to be said for this approach, particularly in making Principle 2.5 c) a reality: c): “Governments should promote the development of multi-stakeholder, consensus-driven global technical standards for interoperable and trustworthy AI.” This also makes sense because neither the United States nor the United Kingdom are likely going to want to do away with the idea that market access commitments in trade agreeme ...

I had the honor of representing SIIA at the July 16-17, 2019 “International Conference on AI-Emerging Technologies and Intellectual Property – Connecting the Bits.”  Many thanks to the World Intellectual Property Organization (WIPO), the Israeli Patent Office, and the Israeli Innovation Authority.   My panel participation presentation on “AI and Regulation – The Broader Picture” can be found here.  During my remarks, I focused on trade agreement protections relevant to AI, protections for proprietary data, and explainability/auditability issues.  There were a few themes that struck me from the two days of conversations with colleagues.  First, participants did not contemplate omnibus AI legislation or regulation.  Second, intellectual property remains a key tool in incentivizing AI innovation.  Third, there are a number of interesting conversations about AI and patent law, some of which touch directly on SIIA a ...

This episode of LunchByte featuring host - Jill Abbott, Senior Vice President and Managing Director of ETIN as she speaks with Charles Fadel.

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 ...

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 ...

This blog post is sponsored content by a 2018 Business Information & Media Summit sponsor A Data Pro

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.

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 ...

Today the SIIA community and our member Alelo gathered for an informational webcast on how AI and Data-Driven Learning will Transform the Global Education Industry.