@article{49054,
      author = {Baruah, Sunandan, and Saikia, Ankur P.,},
      url = {http://tind.wipo.int/record/49054},
      title = {Licensing standard-essential patents in artificial  intelligence-based apps : A theory on dynamic royalty  pricing mechanism.},
      abstract = {Standard-essential patents (SEPs) are patents that are  deemed essential to a specific technology standard, such as  those used in wireless communication technologies. With the  increased use of artificial intelligence (AI) and machine  learning in a variety of applications, there is a greater  demand for SEPs in the field of AI-based apps. However,  licencing SEPs can be a complicated process, and there is  no agreement on best practises for SEP licencing in  AI-based apps. The adoption of a multifactor approach for  determining FRAND royalty rates, the use of ex ante  licencing to prevent patent hold-up, and the establishment  of specialized dispute resolution mechanisms for SEP  disputes are some of the proposed best practices for SEP  licencing in AI-based apps. As potential solutions to the  challenges associated with determining FRAND royalty rates  in AI-based apps, this study proposed alternative royalty  schemes, such as the use of a per-unit royalty rate or a  revenue-sharing scheme.},
      doi = {https://doi.org/10.1111/jwip.12278},
      recid = {49054},
      pages = {1 online resource (pages 490-502)},
}