Intel Talks the Future of Artificial Intelligence at Hub.Berlin

By Mario Romao, Global Director of Health and Data Policy

On April 10 in Berlin, Germany at hub.berlin, Amir Khosrowshahi, Intel Artificial Intelligence Vice-President & Chief Technology Officer and Abigail Wen, Counsel for Office of the AI CTO staged a conversation on “The Present and Future of Artificial Intelligence: Innovations, Investments and Strategies”. The conversation addressed the current status of artificial intelligence (AI), innovation strategies, startup companies and investment on research, namely on privacy preserving technologies applicable when privacy needs limit the availability or usage of data.

Abigail Wen (left) and Amir Khosrowshahi (right) speak on the state of AI at hub.berlin.

One of the areas in which AI is expected to bring enormous advances is healthcare. Intel Germany works closely with Germany’s industry ecosystem and recently, Intel and Siemens Healthineers announced a collaboration on a breakthrough AI-based cardiac MRI segmentation and analysis model that has the potential to provide real-time cardiovascular disease diagnosis. This event comes at a moment where it is widely recognized that nations that invest in AI stand to gain tremendous advantages across industry, government, and society at large.

Artificial Intelligence is set as one of the key digital strategies of the European Union and many countries around the world have or are currently working to set up national AI strategies.

Germany launched its AI national strategy in November 2018, setting out a number of different actions designed to help achieve three major objectives:

  • Making Germany and Europe global leaders on the development and use of AI technologies and securing Germany’s competitiveness in the future;
  • Safeguarding the responsible development and use of AI that serves the good of society;
  • Integrating AI in society in ethical, legal, cultural and institutional terms in the context of a broad societal dialogue and active political measures.

Intel believes that governments are in a unique position to advance the development and deployment of AI through leveraging existing expertise within the government and funding commitments. Recently, Intel published a white paper with recommendations for a U.S. AI National Strategy focusing on four key pillars:

  • Fostering innovation through investment in research and development;
  • Creating new employment opportunities and protecting people’s welfare;
  • Responsibly liberating data to accelerate the development of AI systems;
  • Removing legal and policy barriers to enable development and implementation of AI.

Intel’s public policy recommendations on AI are very much aligned with the objectives of the AI Strategy of the German Federal Government. The main drivers of public policy towards AI should be solving large societal problems and fostering economic progress. Accordingly, Intel believes that public policy must support industry efforts to bring AI benefits to the economy, to address citizens’ concerns, and to identify needs for regulatory intervention. Intel’s views can be summarized as follows:

  • Foster Innovation and Open Development – To better understand the impact of AI and explore the broad diversity of AI implementations, public policy should encourage investment in AI R&D. Governments should support the controlled testing of AI systems to help industry, academia, and other stakeholders improve the technology.
  • Create New Human Employment Opportunities and Protect People’s Welfare – AI will change the way people work. Public policy in support of adding skills to the workforce and promoting employment across different sectors should enhance employment opportunities while also protecting people’s welfare.
  • Liberate Data Responsibly – AI is powered by access to data. Machine learning algorithms improve by analyzing more data over time; data access is imperative to achieve more enhanced AI model development and training. Removing barriers to the access of data will help machine learning and deep learning reach their full potential.
  • Rethink Privacy – We need comprehensive privacy laws instead of AI specific regulation. Privacy approaches like The Fair Information Practice Principles and Privacy by Design have withstood the test of time and the evolution of new technology. But with innovation, we have had to “rethink” how we apply these models.
  • Require Accountability for Ethical Design and Implementation – The social implications of computing have grown and will continue to expand as more people have access to implementations of AI. Public policy should work to identify and mitigate discrimination caused by the use of AI and encourage designing in protections against these harms.

Intel was pleased to participate at hub.berlin and looks forward to contribute to similar strategic discussions and to the development of AI in Germany.