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ICIC 2017:

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Willem-Geert Lagemaat (Lighthouse IP Group, The Netherlands)
A presentation on the development of AI in the IP field. Will patents in future be (partly) drafted by the computer? And how about retrieving knowledge from patents using AI? Will we be able to find sweet spots in technology by technology? This presentation wants to deepen the discussion on this topic and our thoughts on how open we are for these developments.

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ICIC 2017:

  1. 1. Willem G. Lagemaat AI and its use in patent drafting and searching
  2. 2. CONTENTS • So what is Artificial Intelligence….? • How the world is changing, examples of Hurricane Sandy • AI and patents • How about patent drafting? • Legal questions • AI in patent searching • How will AI impact the life of the patent professional?
  3. 3. SO WHAT IS ARTIFICIAL INTELLIGENCE Some definitions: “Artificial Intelligence is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages” “Artificial intelligence (AI, also machine intelligence, MI) is apparently intelligent behaviour by machines, rather than the natural intelligence (NI) of humans and other animals. In computer science AI research is defined as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of success at some goal. Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".”
  4. 4. A SIMPLE EXAMPLE Although you are experiencing AT in daily life, a very basis principle of learning and repeating in Excel:
  5. 5. HOW THE WORLD IS CHANGING – Examples of hurricane Sandy When hurricane Sandy hit New York, resulting into a major disruption of infrastructure a number of large datacenters at the East Coast of the United States were affected. Example of IBM and Amazon - Self awareness - Decisions - Consequences
  6. 6. AI AND PATENTS The theory that could follow would be that AI would be able Example of Google Patents However, is this then still Intellectual Property? Or it this Intelligent Property?
  7. 7. HOW ABOUT PATENTDRAFTING Over the recent years a number of new companies have come up that provide technology to assist in patent drafting. Known solutions include the ability to validate claims, their relationship and their coverage. However, new developments are appearing rapidly. Recently TurboPatent introduced a product that analyses draft patent applications. This claims that reviewing and proofreading patent drafts can be done much more efficient and that the tool in its analyses provides comments in the sideline and proposes suggestions on how to improve the document. Another interesting development is made by Specifio. This startup claims it greatly reduces drafting time by automating the process of writing the application. There the idea is that there is still human creativity needed to draft the proper claims, but when the claims have been created the creation of the matching application can be done largely automatically. Although still human validation is required at the end, Specifio claims that 90% of the work can be done by machines.
  8. 8. HOW ABOUT PATENTDRAFTING Other applications are those available already today in the market place where one can apply the text of a claim into a patent search product to identify other patent claims that might be conflicting.
  9. 9. HOW ABOUT PATENTDRAFTING AI can assist in assessment of comprehensive patentability AI can identify potential existing patents (claims) that may conflict AI can assist in creating better claim definition
  10. 10. THE LEGAL MARKET A short side note on the legal market: The legal market will be changed dramatically by AI • Contracts (especially standard) • Deeds • Legal reviews Resulting in reduction of fees and quicker turnaround times. However, that will require the legal market for reinventing itself as the fee structures and current market acceptance will change significantly.
  11. 11. LEGAL QUESTIONS Who owns the patent? • The software • The machine • The operator • The owner of the machine As such will the examination of patents have to change? Will patent offices apply AI in examining patents? Is Intellectual Property law applicable to automated (non human) inventions?
  12. 12. AI IN PATENT SEARCHING • Many problems in AI can be solved in theory by intelligently searching through many possible solutions: Reasoning can be reduced to performing a search. For example, logical proof can be viewed as searching for a path that leads from premises to conclusions, where each step is the application of an inference rule Planning algorithms search through trees of goals and subgoals, attempting to find a path to a target goal, a process called means-ends analysis. Robotics algorithms for moving limbs and grasping objects use local searches in configuration space. Many learning algorithms use search algorithms based on optimization. • Helping analysing of large volume datasets • Clustering large quantities of unstructured records in “buckets” • True semantic searching allows broader scope searching (bike, pedal etc) • Language limitations potentially easier to conquer • Use of AI in invalidation targeting
  13. 13. AI IN PATENT SEARCHING • One of those wonderful statements: – 30% of all patents worldwide are invalid due to existing prior art – Example of US and JP examiners • Use of AI in invalidation targeting • Textual analyses of claims (Enlyton, PatSnap, Anaqua, Innography) and identifying their landscape
  14. 14. HOW WILL AI IMPACT LIFE FOR THE PATENT PROFESSIONAL Stepwise impact Already happening today Tipping point where human control changes into machine control
  15. 15. A LAST NOTE… We always overestimate the change that will occur in the next two years and underestimate the change that will occur in the next ten. Don’t let yourself be lulled into inaction. Bill Gates
  16. 16. QUESTIONS ?

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