{"id":77870,"date":"2025-08-12T00:16:02","date_gmt":"2025-08-12T04:16:02","guid":{"rendered":"https:\/\/world.edu\/?p=77870"},"modified":"2025-08-12T00:16:02","modified_gmt":"2025-08-12T04:16:02","slug":"is-ai-coming-for-your-creative-job-maybe-not-with-some-human-intervention","status":"publish","type":"post","link":"https:\/\/world.edu\/is-ai-coming-for-your-creative-job-maybe-not-with-some-human-intervention\/","title":{"rendered":"Is AI coming for your creative job? Maybe not \u2013 with some human intervention"},"content":{"rendered":"

\"\"
\n\"\"Many writers, actors and other creatives are\u00a0currently experiencing a small wave of panic about artificial intelligence (AI) taking over<\/a>\u00a0their jobs.<\/p>\n

Generative AI (GenAI) is making machine learning and creative work more accessible to everyone. But for industry professionals, the rise of generative AI can signal the destruction of creative jobs.<\/p>\n

Yet, according to a recent report by the World Economic Forum,\u00a0AI will create more jobs in the next five years than it will displace<\/a>.<\/p>\n

We are four scholars in different creative industries hoping to explore educational approaches to AI. We want to help prepare the next generation to innovate within human-AI collaborative frameworks. To do this, we have begun to confer with other creative professionals through an online survey.<\/p>\n

What if AI can actually support human creativity and productivity? Can we use these technologies to our advantage? What we can expect for the future?<\/p>\n

We believe creative professionals can harness new technologies while still upholding their foundational creative and ethical principles.<\/p>\n

How AI is being used in creative sectors<\/strong><\/h4>\n

AI is becoming deeply embedded within the operational\u00a0workflows of creative industries<\/a>, from a nascent concept to an integrated reality.<\/p>\n

Media and creative workers have gone on strike to protest the use of AI, sparking important conversations. For example,\u00a0Screenwriters in Hollywood<\/a>\u00a0and the\u00a0Writers\u2019 Union of Canada<\/a>\u00a0have raised concerns and helped shape new policies around AI and creative work.<\/p>\n

Within media production, large language models (LLMs) can facilitate the rapid prototyping of narrative concepts, scripts and audiovisual materials, while automated editing platforms and AI-driven visual effects create massive efficiency gains in post-production. This technological integration allows creators to shift their focus from laborious manual tasks to higher-level creative refinement.<\/p>\n

In\u00a0graphic communication<\/a>\u00a0and\u00a0packaging<\/a>, AI and machine learning are acknowledged drivers of change. AI can enhance processes from ideation to production logistics like sorting and personalized web-to-print platforms. In the realm of Digital Asset Management, AI is instrumental in improving\u00a0asset discoverability<\/a>\u00a0and utility through automated metadata tagging and sophisticated image recognition.<\/p>\n

Journalism is also undergoing a significant transformation. AI has been used for a while now to analyze large datasets for investigative reporting, but LLMs now routinely streamline article summarization. More advanced applications are emerging: AI systems are designed to identify news values and auto-generate articles from live events. Major news organizations like the\u00a0Financial Times<\/em>\u00a0and\u00a0The New York Times<\/em>\u00a0are already deploying\u00a0AI tools in their newsrooms<\/a>.<\/p>\n

Ethical challenges<\/strong><\/h4>\n

The integration of AI is not without considerable challenges.<\/p>\n

The generation of\u00a0fabricated information<\/a>\u00a0and\u00a0non-existent sources<\/a>\u00a0are documented failures. These examples highlight critical issues with accuracy and reliability.<\/p>\n

Many people have said they\u00a0do not fully understand the extent to which AI<\/a>\u00a0is\u00a0incorporated into their standard software<\/a>. This disparity between deployment and user consciousness underscores the subtle yet pervasive nature of AI\u2019s integration. This points to an urgent need for greater transparency and digital literacy.<\/p>\n

Bias and intellectual property<\/strong><\/h4>\n

Models trained on vast, uncurated internet data often replicate and amplify existing societal biases. For example, studies demonstrate persistent issues such as\u00a0anti-Muslim bias<\/a>\u00a0in LLMs.<\/p>\n

At the same time, urgent ethical and legal questions regarding\u00a0intellectual property<\/a>\u00a0have emerged. The\u00a0training of LLMs on copyrighted content<\/a>\u00a0without compensation has created significant friction. For example, the pending\u00a0New York Times<\/em> litigation against OpenAI<\/a>\u00a0highlights unresolved issues of fair use and remuneration for creative work.<\/p>\n

Conversely, GenAI demonstrates considerable potential to democratize creative production. These tools, by lowering technical barriers and automating complex processes, can provide access to individuals and groups historically excluded from creative fields due to resource or educational constraints.<\/p>\n

Specific applications are already enhancing media accessibility, such as AI-powered tools that automatically generate alt text for images and subtitles for video content.<\/p>\n

Navigating this dual-use landscape necessitates the adoption of robust governance frameworks. Fostering industry-wide equity, diversity and innovation education is essential to mitigate risks while harnessing GenAI\u2019s potential for an inclusive creative ecosystem.<\/p>\n

Labour and skill evolution<\/strong><\/h4>\n

Technological revolutions have historically catalyzed significant transformations in\u00a0creative labour markets<\/a>\u00a0and GenAI represents the latest\u00a0disruptive force.<\/a><\/p>\n

The proliferation of GenAI has once again\u00a0reshaped the creative industries<\/a>, demanding new professional competencies.<\/p>\n

Human creativity and intervention are indispensable, providing cultural and contextual accuracy. Humans must also review AI-generated content for quality and inclusivity.<\/p>\n

In response to this shift, higher education institutions need to\u00a0recalibrate curricula<\/a>\u00a0from tool-specific training towards fostering curiosity, ethical reasoning and AI literacy.<\/p>\n

Author Bios:<\/strong> Afsoon Soudi is Assistant Professor, RTA school of Media, Gavin Adamson is Professor in journalism, Lorena Escandon is Assistant Professor, School of Creative Industries and Reem El Asaleh is Associate Professor, Graphic Communications all at Toronto Metropolitan University<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Many writers, actors and other creatives are\u00a0currently experiencing a small wave of panic about artificial intelligence (AI) taking over\u00a0their jobs. Generative AI (GenAI) is making machine learning and creative work more accessible to everyone. But for industry professionals, the rise of generative AI can signal the destruction of creative jobs. Yet, according to a recent […]\n… learn more→<\/a><\/p>","protected":false},"author":33,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[434804],"tags":[435249],"coauthors":[11733],"class_list":["post-77870","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","tag-ai-literacy"],"acf":[],"yoast_head":"\nIs AI coming for your creative job? 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