AI Offers Path To Help Humans Make Better Movies And TV
The post AI Offers Path To Help Humans Make Better Movies And TV appeared on BitcoinEthereumNews.com. Creative concept. Creator. Visual contents. getty Can AI help real people make better movies and TV shows? Rather than ask ChatGPT that question, I spent some time diving into this challenge with Tobias Queisser, the CEO of Cinelytic, which bills itself as “the only end-to-end, self-service data, analytics and predictive intelligence platform in the entertainment industry.” Their objective in the content ecosystem isn’t to replace creative artists but to facilitate a more sustainable business environment for those artists to succeed. I am no less nervous about the double-edged behemoth of AI than anyone else. I’m a lawyer by training and work for a company that provides auditing, tax, and strategic advisory consulting. All of those professions are at an existential crossroads in part due to AI. I’m a professor – anyone figured out how to police AI in that environment? I have a daughter who is a graphic designer and illustrator and regularly shares her frustrations about the misuse of copyrighted materials and poor transparency around AI. And by the way, I write for Forbes, don’t I? Needless to say, I tread carefully in any cross pollination of AI and creative endeavors. Naturally, there will be many a raised eyebrow that AI here to save movies and TV – it certainly hasn’t gone unnoticed by the actors’ union SAG-AFTRA among others. The assumption is that any infusion of AI into a creative business would produce a homogenization of the content and the entire approach to making and marketing movies. But as Queisser pointed out to me, it has been humans not machines that have flooded theaters and home screens with sequels, franchise pictures and look-alike episodic TV. Queisser noted that: “Human leadership is afraid to take risks. When you look at ‘comps’ for guidance, it encourages you to do the…
The post AI Offers Path To Help Humans Make Better Movies And TV appeared on BitcoinEthereumNews.com.
Creative concept. Creator. Visual contents. getty Can AI help real people make better movies and TV shows? Rather than ask ChatGPT that question, I spent some time diving into this challenge with Tobias Queisser, the CEO of Cinelytic, which bills itself as “the only end-to-end, self-service data, analytics and predictive intelligence platform in the entertainment industry.” Their objective in the content ecosystem isn’t to replace creative artists but to facilitate a more sustainable business environment for those artists to succeed. I am no less nervous about the double-edged behemoth of AI than anyone else. I’m a lawyer by training and work for a company that provides auditing, tax, and strategic advisory consulting. All of those professions are at an existential crossroads in part due to AI. I’m a professor – anyone figured out how to police AI in that environment? I have a daughter who is a graphic designer and illustrator and regularly shares her frustrations about the misuse of copyrighted materials and poor transparency around AI. And by the way, I write for Forbes, don’t I? Needless to say, I tread carefully in any cross pollination of AI and creative endeavors. Naturally, there will be many a raised eyebrow that AI here to save movies and TV – it certainly hasn’t gone unnoticed by the actors’ union SAG-AFTRA among others. The assumption is that any infusion of AI into a creative business would produce a homogenization of the content and the entire approach to making and marketing movies. But as Queisser pointed out to me, it has been humans not machines that have flooded theaters and home screens with sequels, franchise pictures and look-alike episodic TV. Queisser noted that: “Human leadership is afraid to take risks. When you look at ‘comps’ for guidance, it encourages you to do the…
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