Artificial Intelligence and Intellectual Property

Driving growth for Media Technology

The concept of machine-human intelligence coined during the mid-twentieth century has long become a reality and is unfolding increased potential areas of its application with each passing day. Instead of having incertitude regarding the notion of pursuing AI, companies are now asking themselves the question of how should they pursue AI as they try to unlock the hidden potentials it holds – and the creative industries are no exception to the trend.

From drafting the entire screenplay for a movie to significantly participating in music production, the media sector has been one of the first adaptors of the artificial intelligence and is strongly benefitting from this technological edge. Chief media houses like BBC are leading the research to identify which sectors of their work can benefit from the e-brains and are seeking opportunities to incorporate machine learning techniques to mitigate production expenses along with producing impactful media. Also, with the advancements in Natural Language Processing, these AI based engines are gaining the abilities to predict what type of content and images would draw the desired consumer attention. The development in this sector is led by Netflix, as the company not only uses artificial brain to categorise their content, but also to optimise video compression and delivery. The gaming sector as well as the social media sector are also AI driven as all the major platforms like Facebook, Twitter, Instagram etc. make use of artificial intelligence to provide tailored content to their consumers.

The widespread use of AI technologies has given rise to the notion of keeping an open-source approach to the technology as all the behemoth tech-giants are promoting the openness of the technology. But, the basic idea behind granting IP rights is also of equal importance as it helps us to ensure fair competition as well as providing incentives for investment in the development of new technologies. Lines need to be drawn to create a balance to ensure the open flow of data as well as ensuring closed incentives to those driving the growth of the sector.

Conclusion

AI has established itself as one of the digital frontiers of innovation. The cost-effective as well as quality enhancement solutions provided by the technology are greatly benefitting both the creative and informatics sector. And although, openness is being promoted at the surface level, every single entity, whether big or small, is running to secure as much machine learning patents as possible to arm themselves against the future possibility of AI patent wars.


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