media and communication
AI Innovations In Media And Communications
My last blog discussed AI innovations in the health care sector, and this one will share a few perspectives of new developments in this industry. According to Business Wire, the Artificial Intelligence (AI) spend in media and entertainment industry in the United States forecast period (2019-2025) is expected to grow at a CAGR record of 28.1%, increasing from US$ 329 million in 2019 to reach US$ 1,860.9 million by 2025. Some of the top application areas used in this sector are: gaming, fake story detection, plagiarism detection, personalization, production planning and management, sales and marketing and talent identification. One of the areas which is very exciting is understanding how AI is being used in news. AI is making major impacts in aggregating massive data analysis of the conversations across the world-wide web and classifying into themes to appreciate topics trending globally or even identify increasing risks of terrorism or even health risks, like a pandemic.
- North America > United States (0.25)
- North America > Canada (0.05)
New humanities-led network will put social justice at the heart of AI research
The humanities-led network will build on research in AI ethics, orienting it around practical issues of social justice, distribution, governance and design, and seek to inform the development of policy and practice. The JUST AI network will connect researchers and practitioners from across philosophy, law, media and communications, human-computer interaction, ethnography, user-centred design, data science, computer sciences and social sciences. It will begin by mapping the landscape and identifying opportunities to join up research across disciplines. It will deliver a programme of activity to include workshops, written and creative outputs and peer-reviewed articles, and lay the foundations for future multidisciplinary research collaborations. Research and debate about the ethical and social risks and impacts of data and AI is often focussed on either abstract principles such as fairness, transparency and rights, or on purely technical approaches.