La industria manufacturera ha experimentado una revolución impulsada por los macrodatos y la inteligencia artificial (IA), transformando fábricas en entornos autónomos e inteligentes. La capacidad de recopilar enormes cantidades de datos de sensores y dispositivos conectados, junto con el poder de la IA para procesar y analizar estos datos, ha abierto nuevas fronteras en la optimización de la producción, la gestión de la cadena de suministro, el mantenimiento predictivo y una variedad de otras funciones clave.
Sin embargo, esta revolución también ha planteado desafíos significativos, especialmente en lo que respecta a la protección de la propiedad intelectual (PI) y los derechos sobre los datos generados. La complejidad inherente a las operaciones de fabricación y la naturaleza iterativa de los sistemas de IA hacen que sea crucial garantizar un flujo libre de información mientras se protegen adecuadamente los activos valiosos y la PI relacionada.
El desafío de la propiedad intelectual en la era de la IA y los macrodatos
La implementación y aplicación de sistemas de IA difiere considerablemente de los sistemas de software tradicionales. En lugar de seguir un proceso lineal, los sistemas de IA son procesos iterativos basados en datos, donde los algoritmos/modelos aprenden y mejoran constantemente. Esta evolución constante presenta desafíos únicos para la protección de la PI, especialmente en un entorno donde los datos son tan abundantes y fundamentales para el funcionamiento de la IA.
Estrategias de protección de la propiedad intelectual
Secretos Comerciales: Los secretos comerciales son una herramienta crucial para proteger la IA y los macrodatos debido a su naturaleza iterativa y su capacidad para proteger las iteraciones futuras. Las empresas deben implementar medidas razonables para mantener sus activos en secreto, lo que puede ser especialmente desafiante en entornos de fabricación con múltiples partes interesadas.
Patentes: Aunque mantener la IA como un secreto comercial puede ofrecer una protección significativa, las patentes siguen siendo fundamentales para proteger ciertos aspectos de la arquitectura de la IA. Las empresas deben centrarse en obtener protección de patente para características técnicas novedosas y asegurarse de redactar reclamaciones de manera inteligente para abordar posibles problemas de inelegibilidad de la materia.
Derechos de Autor y Bases de Datos: La protección de los derechos de autor puede ser útil para proteger estructuras de datos y compilaciones asociadas con big data e IA. Algunos países también otorgan derechos sobre bases de datos, lo que brinda protección limitada a las bases de datos que han requerido inversiones significativas.
Mejores prácticas y consideraciones futuras
Las empresas deben desarrollar políticas integrales de PI que identifiquen los activos que necesitan protección y seleccionen las mejores estrategias de protección para cada uno. Esto puede incluir una combinación de secretos comerciales, patentes y derechos de autor, según las características específicas de los activos y las necesidades comerciales.
Además, cerrar lagunas legales a través de contratos como acuerdos laborales, asignaciones NDA y licencias puede ayudar a garantizar la protección y el uso adecuado de la PI relacionada con la IA y los macrodatos.
A medida que el panorama de la PI continúa evolucionando en el contexto de la IA y los macrodatos, es fundamental que las empresas estén preparadas para adaptarse y desarrollar estrategias ágiles y proactivas para proteger sus activos y mantener su ventaja competitiva en un mundo impulsado por la tecnología.
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De acuerdo con datos del Inegi, las PyME generan 52% del Producto Interno Bruto y el 72% del empleo en México, por esta razón son esenciales para el crecimiento económico.
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