In this video, we will revisit the creative selling points of generative AI and explore how to communicate these benefits to clients and stakeholders. We will discuss the unique advantages of generative AI, including increased...

In this video, we will explore the additional training and resources necessary to use generative AI effectively. We will discuss the importance of continued learning and professional development in the field of generative AI and...

In this video, we will discuss the financial costs of generative AI tools. We will cover the costs associated with using these tools, such as app subscriptions and licensing fees. We will also explore the financial implications of...

In this video, we will discuss how to develop AI guidelines for your creative work. You will learn about the key components of AI guidelines, including transparency, accountability, and ethical considerations. You will also learn about...

In this video, we will discuss intentional plagiarism and its consequences in the world of generative AI. You will learn how to recognize and avoid intentional plagiarism, and how to protect your work from being plagiarized by...

In this video, we will explore the ethics and legalities surrounding the use of style references in generative AI. You will learn about the importance of citing sources and how to avoid potential legal issues.
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In this video, we will delve deeper into the concepts of ownership, authorship, and trademark law. You will learn about the legal rights of creators and how they can protect their work in the realm of generative AI.
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In this video, we will provide an overview of the key legal concepts related to generative AI that creative professionals should be aware of. You will learn about copyright law, fair use, and how they apply to generative AI.
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In this video, we will explore some ways to address bias in creative work that involves AI systems. We will discuss the importance of being aware of bias and provide some tips on how to mitigate bias in your AI-generated content.
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In this video, we will provide some examples of biased AI systems. We will explore how bias can manifest in different types of AI systems and provide some real-world examples of biased AI.
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In this video, we will discuss why AI systems can be biased. We will explore the various factors that can contribute to bias in AI systems, including biased training data and biased algorithms.
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In this video, we will explore the fourth tip for prompt engineering, which is to adjust your prompts based on feedback. We will discuss the importance of feedback and provide some tips on how to use feedback to improve your...

In this video, we will discuss the third tip for prompt engineering, which is to give context in your prompts. We will explore why context is important and provide some examples of prompts that give context.
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In this video, we will explore the second tip for prompt engineering, which is to reference a style in your prompts. We will discuss the importance of referencing a particular style and provide some examples of prompts that reference a...

In this video, we will discuss the first tip for prompt engineering, which is to be specific in your prompts. We will talk about why specificity is important and provide some examples of specific prompts.
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In this video, we will discuss the importance of crafting good prompts for your AI models. We will also explore the key elements of an effective prompt and provide some tips on how to make your prompts more precise and relevant.
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In this video, we will discuss the limitation that generative AI works in a vacuum and does not have an understanding of the broader cultural or social context in which it's used.
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In this video, we will examine the limitation that generative AI apps and services can go down, causing disruptions in content creation workflows.
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In this video, we will look at the limitation that AI-generated content will often need to be modified or edited by humans.
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This clip is from the chapter "When (And When Not) to Use AI" of the series "ChatGPT and DALL-E: Sell...

In this video, we will discuss the limitation that generative AI output can be plagiarized and biased, which can be problematic in certain contexts.
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In this video, we will examine the limitation that generative AI output is not always accurate or reliable.
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This clip is from the chapter "When (And When Not) to Use AI" of the series "ChatGPT and DALL-E: Sell Your Creative...

In this video, we will discuss the limitation that the training data used to train generative AI models is finite, which can impact the quality of the output.
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In this video, we will introduce the limitations of using generative AI for content creation.
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This clip is from the chapter "When (And When Not) to Use AI" of the series "ChatGPT and DALL-E: Sell Your Creative Thinking with...

In this video, we will discuss how generative AI can be a useful tool for overcoming creative blocks and generating new ideas.
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This clip is from the chapter "When (And When Not) to Use AI" of the series "ChatGPT and DALL-E:...