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- 🎯 Jodi Picoult’s Lawsuit Against OpenAI & the Fight for Creative Rights
🎯 Jodi Picoult’s Lawsuit Against OpenAI & the Fight for Creative Rights
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Jodi Picoult Takes Legal Action Against OpenAI Over AI Misuse
Bestselling author Jodi Picoult has expressed strong disapproval upon discovering that AI-generated images were used in the promotion of her latest novel, By Any Other Name.
The promotional materials, including posters and social media posts, featured AI-created visuals depicting a woman writing on a manuscript. These images displayed typical AI-generated anomalies, such as distorted hands and asymmetrical clothing.
Penguin Random House, the publisher of Picoult’s novel, has issued an apology, stating that the AI-generated content was produced by an external agency without their knowledge. In a letter to Picoult’s agent, Laura Gross, the publisher expressed disappointment and assured that they are addressing the issue with the agency involved.
This incident is particularly significant given Picoult’s active involvement in legal actions against AI companies. She is part of a lawsuit led by the U.S. Authors Guild against OpenAI and Microsoft, alleging unauthorised use of copyrighted materials for AI training. Picoult has been a vocal advocate for authors’ rights, emphasising the need for consent and compensation when AI technologies utilise their works.
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10 AI tools for For A/B testing Campaigns
Optimizely: A comprehensive platform for running A/B tests on websites and apps, offering insights to improve user engagement and conversion rates.
VWO: Visual Website Optimizer enables you to test headlines, layouts, and CTAs with robust segmentation and analytics to refine campaign performance.
AB Tasty: A user-friendly A/B testing tool that helps marketers optimise website and app experiences with detailed analytics and personalization features.
Crazy Egg: Combines heatmaps with A/B testing to optimise page design and campaign effectiveness based on user interactions.
Unbounce: A landing page builder with built-in A/B testing capabilities to analyse which page variations convert best for your campaigns.
Kameleoon: Offers AI-powered predictions for A/B tests, helping marketers identify optimal variations faster.
HubSpot: Integrates A/B testing into email campaigns, landing pages, and CTAs while providing actionable insights.
Convert.com: A powerful tool for running A/B, multivariate, and split URL tests, designed for marketers seeking granular control over experiments.
SplitMetrics: Specialises in A/B testing for app store pages, optimising conversion rates for mobile app downloads.
Adobe Target: An enterprise-level A/B testing tool that uses AI to personalise content and test variations across multiple channels.
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Use Case Prompt
CUSTOMER JOURNEY MAPPING
Prompt:
My business <brief description of brand/product/service> serves <target audience details> who are looking for <specific needs, e.g., convenience, efficiency, personalization>.
Develop a detailed customer journey map outlining the key stages from awareness to post-purchase loyalty. For each stage, identify customer goals, emotions, and touchpoints where my brand can make an impact. Provide recommendations for improving engagement and reducing friction across <specific channels, e.g., website, email, social media>.
Suggest ways to align the customer journey with my audience's <expectations and behaviors> while driving conversions and building long-term loyalty.
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