Risks of AI in Creative Industries

“Democratization” of creativity? Or just another Big Tech takeover? Generative AI is set to cannibalize up to 24% of musicians' and 21% of audiovisual creators' revenues by 2028, according to CISAC’s latest report. Meanwhile, AI companies’ profits are expected to skyrocket—€64 billion by 2028, fueled by unlicensed training data. This isn’t just about numbers; it’s about fairness. A recent ACLS survey shows 91% of creators believe they should be asked for permission before their works are used in AI training, and 92% demand compensation. Alarmingly, only 8% even knew their works had been used. And what about copyright? The 2nd Circuit’s Hachette v. IA (Internet Archive) decision nails the issue: “If authors knew their original works could be copied and disseminated for free, there would be little motivation to produce new works.” In my latest article, I explore the growing evidence of how AI impacts creators—from cannibalized revenues to unlicensed training—and why licensing, consent, and fair compensation are crucial for protecting creativity. #ArtificialIntelligence #GenerativeAI #CreatorsRights #CreativeEconomy #DigitalRights #CopyrightInfringement #ProtectCreators #InnovationOrExploitation #FairUse

Generative AI: A Powerful Tool, But One That Needs Responsible Use Generative AI is revolutionizing various fields, from creating stunning artwork to crafting compelling marketing copy. But with this power comes responsibility. Here's a look at some critical risks associated with Generative AI and how we can manage them: Risks of Generative AI: Bias and Discrimination: AI models trained on biased data can perpetuate those biases in their outputs. This can lead to discriminatory content or unfair treatment of certain groups. Misinformation and Deepfakes: Generative AI can create highly realistic fake content, like news articles or videos, that cannot be easily distinguished from reality. This poses a severe threat to trust in information. Privacy Concerns: Generative AI models can generate synthetic data that could be used to identify or track individuals without their consent. Job Displacement: As generative AI automates tasks currently done by humans, job displacement is a concern. We need to focus on reskilling and upskilling the workforce. Mitigating the Risks: Data Quality and Fairness: Ensure training data is diverse, representative, and free from bias. Develop fairness metrics to monitor and mitigate bias in AI outputs. Transparency and Explainability: Develop transparent AI models in their decision-making processes. This allows users to understand how the AI arrived at a particular output and identify potential biases. Regulation and Governance: Establish clear guidelines and regulations for developing and deploying Generative AI to ensure responsible use. Education and Awareness: Educate the public about the capabilities and limitations of Generative AI. This helps people critically evaluate AI-generated content and identify potential risks. #generativeai #artificialintelligence #riskmanagement

Did OpenAI just kill the careers of designers and illustrators? I see a lot of these posts with this claim 👆 , so here's my take 👇 OpenAI recently introduced a new image generation model as a part of GPT-4o, combining remarkable capabilities in text and image generation. We have all tried Studio Ghibli styles at this point for our personal images (Huge fan!) Truth: It will disrupt careers and transform the creative landscape! However, claiming this advancement "kills" careers misses a crucial point: tools enhance creativity; they rarely replace it outright. This new model can create stunning visuals in seconds. It can mimic styles, generate ideas, and produce high-quality work. The speed and efficiency are unmatched. This shift has left many designers feeling threatened. Job security is at risk. Many wonder if their skills will still be valued. I call it the "Creative Disruption Effect". This powerful change impacts the art world in five critical ways: → Accessibility: Everyone can create art now. → Quality: AI produces high-quality images fast. → Variety: Countless styles and options are available. → Cost: Cheaper alternatives to hiring artists. → Competition: More creators in the market. Each of these elements brings challenges. • Increased accessibility = "Oversaturation" • Quality without effort = "Devaluation" • Endless variety = "Confusion" • Lower costs = "Reduced earnings" • More competition = "Struggle for visibility" Here’s how to thrive in this new world: 1/ Embrace technology: ↳ Learn to use AI tools to enhance your work  ↳ Combine your creativity with AI’s power 2/ Focus on storytelling: ↳ Create art with a unique narrative  ↳ Connect with your audience on a deeper level 3/ Build a personal brand: ↳ Showcase your style and personality ↳ Stand out in a crowded market 4/ Collaborate: ↳ Work with other artists and tech experts. ↳ Create something new and exciting 5/ Keep learning: ↳ Stay updated on trends and tools ↳ Make YOU + AI your personal brand! The future belongs not to AI alone, but to those who best leverage the collaboration between "human ingenuity" and "artificial intelligence"