The China National Intellectual Property Administration (“CNIPA”) formally announced on December 31, 2019 the newly amended Patent Examination Guidelines (“the Guidelines”) will come into effect on February 1, 2020. The Guidelines were amended to clarify eligible subject matter in patent applications involving artificial intelligence and other new industries.
Category: New Law, Rule or Implementing Regulation
China Makes Significant Commitments to Improve Intellectual Property Protection in Phase 1 Trade Deal
In the Economic and Trade Agreement Between the United States of America and the People’s Republic of China, Phase 1, dated January 15, 2020 China has made several major commitments to improve Intellectual Property protection. Chapter 1, which comprises 16 pages of the 94-page document, specifies improvements in trade secret protection; strengthening pharmaceutical-related Intellectual Property; granting patent term adjustments and extensions; preventing piracy and counterfeiting on e-commerce platforms; increasing transparency in geographical indications protection; preventing manufacture and export of counterfeit …
China’s Amended TM Law Has Potential To Reduce Squatting
On November 1, 2019 China’s amended trademark law came into force. The Standing Committee of the National People’s Congress has amended six articles of the trademark law focusing on reducing trademark squatting and increasing damages for infringement.
CNIPA Announces Amended Patent Guidelines for Patent Applications Covering AI and Blockchain
The China National Intellectual Property Administration (CNIPA) has announced amended Patent Examination Guidelines effective February 1, 2020. The amended guidelines add a Section 6 to Chapter IX of Part Two of the Patent Examination Guidelines, which covers provisions for the examination of invention patent applications that claim mathematical limitations and business methods. The amendments are made for the special nature of examination of patent applications related to artificial intelligence, “Internet +”, big data, and blockchain.
