AI was always poised to disrupt business as we know it. But thanks to huge advancements in the past year, that reality seems closer than ever in advertising.
From ChatGPT to Midjourney, AI is proving it can handle creative as well as computational tasks — and that has huge implications for the ad industry. Join us at our next virtual event, where we will delve into the impact of AI on advertising and prepare you for the challenges and opportunities of a more automated future.
Session 1: AI and creativity: The risks and rewards
12pm - 12:35pm ET
Text-to-image platforms such as Midjourney and DALL-E, and generative AI bots such as ChatGPT, have proven they can create impressive copy and images in seconds with a simple prompt. What are the implications of this for agency creatives, both in the work they do and the value they provide?
AI image-editing tools offer personalization at scale — but brands have raised concerns about losing their edge and identity when using AI-generated images. How can marketers tap the efficiency of AI while retaining control of their brand?
How can agencies harness AI to highlight their strategic value?
When and where does human creativity still play a critical role?
Session 2: How AI will transform the workforce
12:40pm - 1:15pm ET
Forrester recently estimated that AI will replace 7.5% of agency jobs by 2030. How might access to new tools and AI partnerships reshape agency roles and positions?
What are the implications for staffing? What roles might be impacted most, and where might new roles emerge?
How can agencies ensure they are upskilling their talent to take advantage of new AI tools and secure the value they bring to the organization in this new era?
Session 3: Mitigating bias in AI: How to use automation equitably
1:20pm - 1:55pm ET
AI has the opportunity to transform how we work in countless positive ways. But the manner in which we program these algorithms — and the bias we input while doing it — has a profound impact on how they make decisions.
As agencies embark on integrating more automation into their processes and products, how can they ensure they are using AI in a way that is fair, equitable and conscious of bias?
What challenges exist around bias in AI that businesses must solve before wide-scale adoption takes hold?
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