Artificial Intelligence In Broadcasting
What might happen if algorithms and machine learning were to search out content from the 麻豆社 archive for 麻豆社 Four audiences?
Our teams in 麻豆社 Research & Development are always looking at how technology could impact the 麻豆社 and the wider industry in the coming years. In fact, it鈥檚 baked into the 麻豆社 Charter to look at the opportunities and challenges this may bring 鈥� to be prepared for it 鈥� and to share learnings with others.
One such trend is the emergence of Artificial Intelligence (AI) and Machine Learning (MI). Towards the end of last year, Matthew Postgate, Chief Technology and Product Officer for the 麻豆社 the role the 麻豆社 should play in this debate 鈥� bringing partners together, showing the way and ensuring the public service principles are at the heart of any developments. We were fascinated by the discussion.
Last night, , we shared initial plans for our next experiment.
Later this year, 麻豆社 R&D and 麻豆社 Four will work together to conduct an experiment using AI and MI. The purpose is to explore what might happen if algorithms and machine learning are used to search out 麻豆社 content from the archive that would connect with and be relevant to a 麻豆社 Four audience. This content would be highlighted to the 麻豆社 Four scheduling team, and used to schedule an evening鈥檚 worth of output.
- #ArtificialIntelligence in #Broadcasting : #麻豆社: We asked ourselves three questions 1) can a computer really capture the spirit of 麻豆社 Four 2) what else can we analyse beyond programmes and 3) how responsive would it be? #RTSAIBroadcasting 鈥� Maria Rua Aguete (@mariaaguete) May 16, 2018
We want to use this to learn whether technology can help us uncover hidden treasures across genres and programming that that we think 麻豆社 Four audiences might love. It will also help us look at the limitations and challenges around using this technology to support and enhance the 麻豆社鈥檚 world-renowned skills in content curation and delivery. And let鈥檚 just be clear 鈥� this will not replace our schedulers. Far from it. Humans have nuance, taste and judgement 鈥� the qualities of which no algorithm or machine can replace. This is all about looking at whether technology can help them even further.
This trial, along with other experiments across 麻豆社 R&D will help shape our thoughts on the potential uses and limitations of AI and MI in the future.
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- 麻豆社 R&D - Using Algorithms to Understand Content
- 麻豆社 R&D - Content Analysis Toolkit
- Wikipedia - Artificial Intelligence
- Machine Learning and Artificial Intelligence Training and Skills from the 麻豆社 Academy including: