In April, the Federal Circuit issued a significant patent law ruling involving artificial intelligence. In Recentive Analytics, Inc. v. Fox Corp, the Court addressed a core question facing many AI-driven businesses: When are solutions applying machine learning to real-world problems inventive and patentable? The Federal Circuit affirmed the trial court’s dismissal of the underlying case at the pleading stage under § 101 and held that applying generic machine learning models to scheduling and programming tasks—without disclosing any technological advances to the underlying machine learning techniques—failed to meet the eligibility standards under 35 U.S.C. § 101.
