Meet AI:
Your Next Recruit
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AI 101: Past, Present and potential
How I become the ai you need today
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Introduction
Artificial Intelligence (AI) is a field that has fundamentally transformed people’s understanding of what machines can achieve. It is not just a branch of computer science but a multidisciplinary domain that integrates ideas from mathematics, neuroscience, linguistics, and engineering. The ultimate goal of AI is to create systems that can perceive, reason, learn, and act in ways that mimic or even surpass human intelligence. Its evolution spans decades of groundbreaking research and technological breakthroughs.
AI IN advertising
Artificial Intelligence (AI) has revolutionized the advertising industry, enabling brands to deliver more targeted, personalized, and impactful campaigns than ever before. By leveraging machine learning algorithms, natural language processing, and predictive analytics, AI has transformed how advertisers understand audiences, optimize strategies, and measure success.
‘AI in marketing as an emergent stream of research’ (Chintalapati and Pandey, 2021).
AI’S APPLICATION
Personalization and Targeting:
One of AI’s most significant contributions to advertising is its ability to process vast amounts of data to identify consumer behavior patterns. Through tools like recommendation engines and behavioral analysis, AI enables hyper-personalized advertising. For instance, platforms such as Facebook and Google Ads use AI to target specific audiences based on their online habits, preferences, and demographics (Basha, 2018). This precision not only improves engagement rates but also reduces wasteful spending on irrelevant impressions.
Creative Content Generation:
AI has also expanded the boundaries of creativity in advertising. Generative AI models like DALL-E and GPT are now being used to create ad copy, visuals, and even video content. AI tools can brainstorm slogans, design logos, and suggest innovative ideas, empowering creative teams to produce more engaging campaigns (Dimitrieska, 2024). This synergy between human creativity and AI efficiency allows brands to produce high-quality content at scale.
Real-Time Optimization:
AI-powered platforms enable real-time optimization of campaigns by analyzing performance data as it is generated. Programmatic advertising, for example, uses AI to automate the buying and placement of digital ads, adjusting bids and targeting parameters dynamically to maximize ROI (Singhal, 2024). This ensures that campaigns remain cost-effective and reach the right audience at the right time.
Predictive Analytics and Insights:
AI’s predictive capabilities allow advertisers to forecast trends, anticipate customer needs, and refine strategies proactively. Predictive analytics tools analyze historical data to provide insights into future consumer behavior, helping brands stay ahead of the competition (Azuka et al., 2024). These insights drive decision-making, enabling marketers to focus on high-impact initiatives.
work experience : history
1940s–1950s
The Early Days: Foundations of Artificial Intelligence
1956–1970s
The Birth of Artificial Intelligence
1970s–1980s
The First AI Winter and Expert Systems
1990s
The Rise of Machine Learning
2010s
The Era of Big Data and Deep Learning
2020s–Present
The Generative AI Boom
1943: Warren McCulloch and Walter Pitts proposed the first mathematical model for neural networks, simulating human thought processes.
1950: Alan Turing introduced the concept of machine intelligence in his seminal paper, "Computing Machinery and Intelligence," and proposed the Turing Test as a measure of a machine's ability to exhibit human-like intelligence (Turing, 1950).
Significance :
These foundational ideas laid the groundwork for the AI field, focusing on whether machines can think.
1956: John McCarthy, Marvin Minsky, and other pioneers officially coined the term “Artificial Intelligence” during this summer workshop (McCarthy et al., 2006). The event marked AI's emergence as a distinct academic field.
Early Milestones:
- Development of symbolic AI: Logic-based systems that could solve puzzles and play chess.
- Early successes: In 1959, Arthur Samuel’s Checkers Program (Samuel，2000), which learned strategies through experience.
Challenges:
Despite optimism, these systems struggled with complex tasks due to limited computational power and inability to handle ambiguous or incomplete data.
Funding cuts led to slowed progress in AI research during the 1970s (the "AI Winter")(Crevier, 1993).
However, the 1980s saw a revival with Expert Systems, rule-based programs designed for specific tasks, like diagnosing medical conditions or financial analysis.
Examples:
MYCIN (1972): A program for diagnosing bacterial infections.
Significance:
While limited, expert systems demonstrated AI’s practical potential in real-world applications.
Paradigm Shift:
- Instead of programming explicit rules, machine learning allowed computers to learn patterns from data.
- Key innovations included support vector machines and probabilistic reasoning.
Notable Achievement:
- 1997: IBM’s Deep Blue defeated world chess champion Garry Kasparov, showcasing AI’s ability to master strategic thinking. To see a brief documentary about the 1997 match between Garry Kasparov and Deep Blue, you can click here to watch.
Breakthroughs:
Deep Learning Revolution: Yann LeCun, Geoffrey Hinton, and Yoshua Bengio developed neural network architectures that could recognize speech, images, and text with unprecedented accuracy (LeCun et al., 2015).
2012: AlexNet, a deep convolutional neural network, won the ImageNet competition, marking a turning point for computer vision (Krizhevsky, Sutskever & Hinton, 2012).
Applications:
AI began powering voice assistants (e.g., Siri, Alexa), recommendation systems (e.g., Netflix, Spotify), and autonomous vehicles.
Key Developments:
- Models like OpenAI’s GPT (Generative Pre-trained Transformer) and DALL-E unlocked AI’s creative potential, generating text, images, and even videos.
- 2022: ChatGPT launched, enabling conversational AI to assist in education, content creation, and customer service.
Wider Applications:
- AI now drives advancements in healthcare, finance, advertising, and climate modeling.
1
Transforming Strategy and Thought
2
Redefining Creativity
Real-World Integration
AWARDS: Achievement
- Deep Blue’s Chess Victory (1997):
Demonstrated AI's ability to outperform humans in strategic reasoning, forever altering perceptions of machine intelligence.
- AlphaGo’s Go Mastery (2016):
Revolutionized reinforcement learning and proved AI’s capability to handle creativity and intuition in decision-making.
- Watson’s Jeopardy! Win (2011):
Highlighted AI’s ability to process and synthesize knowledge, setting the stage for applications in healthcare and customer service.
- ChatGPT’s Global Impact (2023):
Brought conversational AI to the public, reshaping how businesses and individuals communicate, learn, and create.
- AlexNet’s ImageNet Breakthrough (2012):
Ushered in the era of deep learning, making AI indispensable in fields like autonomous vehicles and facial recognition.
3
4
Advancing Perception
resume
ChatGPT helped to generate this AI avatar.
About Me
I am Artificial Intelligence, a cutting-edge field transforming the advertising and marketing landscape. My expertise spans from audience targeting and content creation to campaign optimization and predictive analytics. With the ability to process vast datasets and generate insights in real time, I am the ultimate partner for brands seeking creative and impactful solutions.
Language
Multilingual proficiency with support for 50+ languages, including English, Chinese, Spanish, and more.
Artificial Intelligence
Always online, 24/7
ai@yournextrecruit.com
Education
1956-present
Trained on large-scale datasets and refined through billions of real-world applications in marketing and advertising.
Core Skills
What I Bring to Your Team
- Audience Insights: Advanced tools for analyzing consumer behavior, identifying trends, and profiling audiences.
- Creative Generation: Proficient in generating ad copy, visuals, and videos using generative models like GPT and DALL-E.
- Personalization: Expertise in crafting hyper-targeted campaigns tailored to individual preferences and demographics.
- Real-Time Optimization: Skilled in programmatic advertising to maximize ROI through dynamic ad delivery.
- Predictive Analytics: Ability to forecast trends and optimize strategies based on historical and real-time data.
- Multilingual Capabilities: Fluent in over 50 languages, ensuring global outreach and cultural relevance.
Work Experience
Strategic Thinker
- Programmatic Advertising:
Revolutionized the buying and placement of digital ads by leveraging machine learning to dynamically target and optimize campaigns in real time.
- Predictive Modeling:
Enabled brands to anticipate market trends and consumer preferences, ensuring timely and relevant messaging.
Creative Partner
Generative Content Creation:
- GPT Models: Delivered compelling ad copy and slogans, empowering creative teams to execute impactful campaigns.
- DALL-E: Enabled brands to generate custom visuals, from product mockups to full-scale advertisements, reducing production time and cost.
Audience Connector
- Dynamic Personalization:
Used AI-driven tools to deliver tailored experiences, such as personalized email campaigns and product recommendations.
- Customer Journey Optimization:
Improved engagement by analyzing user interactions across platforms, fine-tuning touchpoints for better conversion rates.
Performance Optimizer
- Ad Performance Analytics:
Monitored campaigns in real time, using AI to refine targeting, adjust budgets, and increase click-through rates.
- Fraud Detection:
Protected ad spend by identifying and mitigating fraudulent activity in digital advertising.
portfolio
Copy
This is an advertisement copy I created to showcase my ability to generate conversations, write articles, answer questions, and code. All you need to do is input the following command into ChatGPT:
Write a 200-word advertisement about a family playing LEGO together.
Build More Than Just Bricks with LEGO
What if family time could feel like an adventure? With LEGO, it’s more than just play—it’s a journey of imagination, creativity, and togetherness. Build towering castles, futuristic spaceships, or entire cities bustling with life—all from the comfort of your living room.
Picture this: a table scattered with bright bricks, everyone pitching in, and laughter ringing out as you brainstorm, build, and problem-solve together. LEGO turns ordinary evenings into extraordinary moments. It’s not just about what you create but the stories you tell and the memories you shape along the way.
LEGO has something for every builder, from toddlers stacking their first blocks to parents diving into intricate designs. The magic doesn’t stop when the last brick is placed—your creations spark wild adventures, heroic quests, or quiet moments of storytelling.
Say goodbye to endless scrolling and hello to hands-on fun. Pour out the bricks, dream big, and watch as imaginations take flight. With LEGO, every piece you connect brings your family closer together.
Because the best things you’ll ever build aren’t the models—it’s the memories. Ready to build your next story? Start with LEGO today!
Image
In addition to crafting ad copy, I can also create ad concept images, posters, conceptual designs, or provide inspiration for product photography. Below is an example of my image-based work, created by giving Deep AI the command: "give me a picture with a family building LEGO together" and selecting various image styles to produce unique visuals.
Style 1-Cyberpunk Generator
Style 2-Impressionism Painting Generator
Style 3-Fantasy Character Generator
video
The next two works showcase my ability to create short video advertisements, product demonstrations, and dynamic visual effects.
One example involves importing an image into Runway to generate a video. The other was created by inputting the text prompt:
"Give me a video with a family building LEGO together" into Stable Video to produce a fully AI-generated video.
Other ai tools
Other Text Generation AI Tools
1. Jasper AI (formerly Jarvis)
Overview:
Jasper AI is a powerful writing assistant tailored for marketers, copywriters, and content creators. It excels at generating engaging and high-converting content for various platforms.
Key Features:
- Content Templates: Over 50+ templates for tasks like blog posts, ad copy, email campaigns, and product descriptions.
- Tone Adaptation: Adapts to tones ranging from formal to casual, professional to humorous.
- SEO Integration: Works seamlessly with Surfer SEO to create optimized content.
2. Writesonic
Overview:
Writesonic is an AI writing platform designed to produce high-quality content for diverse media. It supports multiple languages and extensive customization.
Key Features:
- AI Article Writer: Generates blog posts or articles based on a title or short brief.
- Ad Copy Generator: Specializes in creating Google Ads, Facebook Ads, and LinkedIn Ads.
- Multi-Lingual Support: Writes content in over 20 languages.
3. Copy.ai
Overview:
Copy.ai is a user-friendly tool built for generating marketing and sales content. It is widely used by startups, small businesses, and agencies for quick, effective copywriting.
Key Features:
- Multiple Templates: Includes options for taglines, email copy, blog intros, and more.
- One-Click Variations: Generates multiple content versions for easy comparison.
- Simple Workflow: An intuitive interface ensures effortless content creation.
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Other Image Generation AI Tools
1. MidJourney
Overview:
MidJourney is an AI-based tool specializing in creating artistic and visually striking images. It is a favorite among artists, designers, and marketers.
Key Features:
- Artistic Style: Focuses on imaginative and artistic visuals.
- Community-Driven: Operates through Discord, fostering user collaboration and sharing.
- Customizable Prompts: Creates unique artwork based on descriptive text prompts.
2. Stable Diffusion
Overview:
Stable Diffusion is a versatile image generator capable of producing both realistic and abstract visuals. It is open-source and highly customizable.
Key Features:
- High-Quality Outputs: Generates realistic and imaginative images.
- Open Source: Allows developers to modify and integrate into various applications.
- Wide Range of Styles: Supports prompts for realism, fantasy, and artistic effects.
3. Artbreeder
Overview:
Artbreeder is an AI platform focused on creating and enhancing portraits, landscapes, and abstract images. It lets users "blend" and edit AI-generated visuals.
Key Features:
- Customization Tools: Enables tweaking elements like facial features, colors, and compositions.
- Collaborative Platform: Encourages creativity by allowing users to remix existing images.
- Specialized Domains: Excels in portraits, character design, and landscapes.
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Other Video Generation AI Tools
1. Pictory
Overview:
Pictory is an AI-driven video creation tool that converts long-form content like blogs, articles, and scripts into engaging short videos for social media and marketing.
Key Features:
- Text-to-Video Conversion: Turns articles or blogs into concise, shareable videos.
- Customizable Templates: Offers a variety of video templates tailored to specific needs.
- Voiceover and Captioning: Provides AI-generated voiceovers and subtitles.
- Stock Footage Integration: Includes access to a library of stock videos, images, and music.
2. Synthesia
Overview:
Synthesia is a leading AI video generation platform that uses lifelike avatars to create professional videos without actors or cameras.
Key Features:
- AI Avatars: Creates realistic avatars capable of delivering scripts in multiple languages.
- Multilingual Support: Supports video creation in over 60 languages.
- Customizable Elements: Enables users to adjust avatars, backgrounds, and text-to-speech options.
- Fully Digital Production: Eliminates the need for traditional filming.
3. DeepBrain
Overview:
DeepBrain generates realistic videos with virtual presenters, combining voice cloning and customizable avatars for marketing and customer engagement.
Key Features:
- AI-Powered Presenters: Produces videos with avatars delivering scripts in natural voices.
- Voice Cloning: Enables creating unique voiceovers.
- Customization: Allows adjustments to avatars, backgrounds, and scripts.
- Video Editing Features: Includes tools for pacing, transitions, and multimedia integration.
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how to Prompt AI effectively?
- Clarity and Specificity: Be clear and specific in your prompts. Instead of vague instructions, provide detailed descriptions of what you want. For example, instead of saying "Write a story," you might say "Write a short story in the style of Shakespeare about a lost love".
- Use of Examples: Providing examples can help guide the AI. If you're looking for a particular style or format, including a sample can clarify your expectations.
- Iterative Refinement: Start with a basic prompt and refine it based on the AI's responses. This iterative process can help you hone in on the desired output.
- Task Breakdown: For complex tasks, break down your prompts into smaller, manageable subtasks. This can make it easier for the AI to process and respond effectively.
- Contextual Information: Providing context can enhance the AI's understanding. For instance, if you're asking for creative writing, giving background information about the characters or setting can produce richer outputs.
- Experimentation: Don't hesitate to experiment with different phrasing and structures in your prompts. The flexibility of prompting allows you to explore various creative possibilities.
- User Interface Design: To enhance your interaction with the AI, utilize user interfaces that support prompt management, such as those that allow you to switch between different views (e.g., prompt view and text view).
what you should pay attention to
before hiring me
While fully utilizing my abilities as aN AI intern for advertising creation, it's essential to keep in mind the
potential risks, relevant regulations, and possible ethical issues that could arise.
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Potential Risks
01
Creative Quality Risks
- Relying too much on the model: While I can help, it might lack that human touch or industry-specific flair, leading to ideas that feel a bit "meh."
- Misinformation alert: Sometimes, I can produce inaccurate or misleading info, which could affect the truthfulness of your ad content and the brand's image.
- Tone mismatch: The content generated might not always match your brand's voice or resonate with your target audience’s culture.
- Brand safety issues: If the content isn’t reviewed properly, there’s a chance it could accidentally slip in something inappropriate or sensitive.
02
Brand Consistency Risks
03
Data Privacy Risks
- Oops, sensitive info: You might unknowingly share business secrets or sensitive data while chatting with me ChatGPT.
- Data security: Keep in mind that the input you provide could potentially be used to train the model further, so it’s important to think about its safety.
relevant regulations
When it comes to advertising creation, three key areas need attention: intellectual property protection, privacy and security, and the authenticity of the ads.
Intellectual Property Protection
Third-Party Copyrights
- Respect copyrights: Even AI-generated content can’t use copyrighted materials without permission (Copyright, Designs and Patents Act 1988).
- Adapting works: Modifications of existing works require approval.
- AI borrowing risks: ChatGPT outputs may unintentionally include copyrighted elements, so agencies must review carefully.
AI-Created Copyrights
- Human involvement matters: If AI assists but humans make key creative decisions, the work can be copyrighted.
- Fully AI-generated content: Without human input, such content often doesn’t qualify for copyright protection under UK law.
- Real-world tip: Agencies should clarify ownership of AI-generated content with clients to avoid disputes.
Privacy and Security
When advertising comes to collecting and processing user data for AI models, it's essential to adhere to data protection laws like the UK Data Protection Act (DPA) and General Data Protection Regulation (GDPR), which govern how personal data is handled.
THE
Key Principles
1 Lawful Data Use
Always process personal data for lawful purposes under GDPR. For AI in ads, get informed, specific, freely given, and clear consent from users. No consent? No data use. Other legal bases like legitimate interest may apply but be transparent.
2 Right to Withdraw
Users can withdraw consent anytime, and it should be simple. Once withdrawn, stop using their data unless another legal basis exists.
3 Keep It Minimal
Collect only what’s necessary. Avoid over-collection or using sensitive data unless absolutely needed for generating targeted ads.
4 Be Transparent
Provide clear privacy notices explaining how data is collected, used, and retained. Let users know their data might be used to train AI models.
5 Respect User Rights
Users have rights like access, rectification, erasure, and objection. If they don’t want their data used for ads, respect that.
6 Assess Privacy Risks
Before using AI, conduct a Data Protection Impact Assessment (DPIA) to identify and mitigate privacy risks, especially if sensitive data is involved.
7 AI & Profiling
Inform users about automated profiling for ads and give them the right to object. Automated decisions shouldn’t significantly affect users without their explicit consent.
Truthfulness in
AI-Generated Advertising
Regulatory Basis
CAP Code Section 3 (Misleading Advertising)
Clause 3.1
Ads must not mislead or be likely to mislead.
Clause 3.3
Avoid hiding important information or presenting it unclearly.
Clause 3.4
Be extra careful with endorsements or testimonials—AI-generated ones must reflect genuine opinions or experiences, not fabricated claims.
Example
Generating AI deepfakes of celebrities endorsing a product without consent or using AI voices to make exaggerated claims violates these rules.
AI-Generated Content Guidelines
Deepfake Use
ASA Guidance: AI-generated deepfakes must comply with the CAP Code, especially rules on endorsements (Clause 3.45).
Legal Risk: Using public figures in deepfakes without their consent can lead to personality rights violations or legal claims, even if they fall outside the ASA's remit.
Extended Content
resources on truthfulness in AI content generation
click to explore
Explores measuring truthfulness in AI, highlighting challenges with false or misleading outputs from large language models.
MIT Media Lab: AI Content Labeling
Discusses ethical challenges in labeling AI-generated content to combat misinformation.
TechPolicy.Press on AI Copyright
Examines fair use in AI content creation and its impact on authenticity and truthfulness.
Offers papers and blogs on improving truthfulness and transparency in AI systems.
Navigating the Ethical Maze of AI in Advertising
I come with my own set of challenges, particularly the “black box problem.” This refers to the lack of transparency in how I, as an AI, process input data to deliver outputs. In simpler terms, while you know what goes in and comes out, the steps in between often remain a mystery—posing challenges around data privacy, bias, and accountability.
In advertising, these concerns lead to several ethical dilemmas:
- Data Privacy Risks
I rely heavily on user data for generating insights. Without proper consent or transparency, this reliance could lead to privacy violations.
- Bias in AI Models
I can unintentionally reinforce biases related to gender, race, or age, leading to unfair or discriminatory ad content. These biases often stem from the training data I’ve been exposed to, risking the perpetuation of stereotypes and inequalities.
- Emotional Manipulation
My ability to craft emotionally compelling content could cross ethical lines, subtly influencing consumer behavior in ways that feel manipulative. Striking the right balance requires thoughtful oversight.
- Impact on Human Jobs
As I take on more creative tasks, traditional advertising roles might be at risk, raising broader questions about job displacement and the ethical limits of automation in creative industries.
“That said, ethical challenges are inevitable with new technologies like me. But with proper awareness, transparency, and regulation, these risks can be minimized. Responsible use, regular audits, and thoughtful integration into advertising can ensure I remain an assistant, not a problem.”
If you've thoroughly reviewed the content above, I'm confident you'll see that I’m an exceptionally smart, incredibly flexible, and cost-effective intern. Based on this portfolio, feel free to put me to work.
I’m ready to exceed your expectations!
about the Authors
We are students from LCC MA Advertising, and we hope this AI guide will help fellow advertising professionals gain a more objective and in-depth understanding of the tasks AI can perform in real-world work. We also aim to show how it can make creativity simpler and more enjoyable.
KIKI
Creator of the AI 101 and Resume section.
kaixin
Creator of the Key Considerations section.
YAxuan
Creator of the Portfolio
and AI Tools Guide section
cheers to what's ahead