A future AI chatbot could be imbued with good craic, and no matter the prompt, the response will always include, “Ah, don’t be an eejit; it’ll be grand!” An AI imbued with a natural optimism, some humor, and character — such AI could offer a more engaging and personalized user experience.

Online and digital trust has eroded significantly in the years leading to the age of AI, and it's poised to degrade further. Deepfakes and AI-generated content blur the lines between truth and fiction, eroding trust in digital experiences. To counter this trend, we must embrace "Actual Intelligence," a human-centered approach that prioritizes authenticity and real-world connections.

Developing effective learning leveraging AI focuses on actualizing intelligence and offering knowledge in the most effective way for the learner. AI can compress the workflow between your idea and the delivery. (See Agile Intelligence)

Alternative meanings for AI.

Ada Lovelace, a visionary mathematician often called the world's first computer programmer, cautioned against unqualified optimism in the 19th century. She wrote that "The Analytical Engine has no pretensions whatever to originate anything. It can do whatever we know how to order it to perform. It can follow analysis; but it has no power of anticipating any analytical relations or truths." She believed it could only follow instructions, not discover new ideas on its own.

The ’Sacklerization of Attention’ The MIT Technology Review has coined the term "Addiction Intelligence" to describe the growing ability of AI to manipulate user behavior. “It is no accident that internet platforms are addictive—deliberate design choices, known as ‘dark patterns,’ are made to maximize user engagement.”[i] By interacting with social media platforms, users unwittingly train these platforms to capture their attention more effectively. Coupled with AI, this trend heralds a future where attention is a scarce commodity, manipulated on an unprecedented scale. AI can dynamically prioritize content to reinforce engagement, creating an endless stream of addictive stimuli.

The Agile methodology emphasizes iterative development and flexibility, enabling practitioners to adapt quickly to changing requirements and deliver results more efficiently. Adding AI can accelerate this iterative innovation and enhance outcomes. AI algorithms can analyze vast amounts of data to identify emerging trends, uncover hidden patterns, and generate ideas faster. This empowers teams to brainstorm more efficiently and make informed decisions. AI can ideate and iterate initial scenarios and model outcomes to predict potential issues and optimize performance. Leveraging Agile Intelligence enables teams to iterate faster and bring products and services to market more quickly. AI can identify and correct errors, ensuring that products and services meet high-quality standards.

Alan Turing, in his 1950 paper “Computing Machinery and Intelligence,” proposed a test for artificial intelligence while working at the University of Manchester. The Turing Test, originally dubbed the "imitation game," challenges a machine's ability to engage in a conversation indistinguishable from a human's. If a human evaluator cannot reliably differentiate between the machine and a human, the machine is said to have passed.

Inspired by the revolutionary Aldine Press, Aldine Intelligence prioritizes efficiency, quality, and impact. Unlike traditional AI, which often replicates existing processes, Aldine Intelligence leverages AI's power to process vast amounts of information, empowering individuals and organizations to make informed decisions and drive progress.

AI's impact on the learner is just starting, but technological advancements have created challenges for learners. Smartphones, personal devices, social media, and the availability of digital information have already transformed every generation's learning, education, workplace, and cultural experience. Jonathan Haidt's 'The Anxious Generation: How the Great Rewiring of Childhood Is Causing an Epidemic of Mental Illness' is a compelling exploration of the impact of smartphones and social media on Gen Z's mental health and learning.

Just as Lewis Carroll used his fantastical worlds of Alice in Wonderland and Through the Looking Glass to counterbalance the impact of photography's emerging realism on children, we must approach the integration of AI in education with careful balance. Alice Intelligence is a framework that emphasizes nurturing imagination, critical thinking, and human connection in the age of AI. While AI offers immense potential to enhance learning and creativity, it's crucial to preserve the unique qualities of childhood.

AI can mimic human learning and knowledge. It falls short of replicating the full depth and richness of human intelligence. Learning designed by AI often lacks the nuance and empathy of human interaction. AI is temporal and transactional. It's about learning through algorithms and patterns. AI tutors can provide personalized instruction on various subjects. However, both instances of learning lack the depth and richness of experience. Ultimately, AI is a tool that can enhance human capabilities, but it cannot replace them. It can't fully replicate the richness of authentic learning, which is deeply rooted in the author's ethos, perspective, and insights.

The vast amount of information online has sparked a new issue: Approbation Intelligence. Platforms utilize algorithms that favor attention-seeking content over informative material. Approbation is the desire for likes, shares, and comments, which can be detrimental to authentic learning. Consider instructional videos that withhold essential information until the very end, compelling viewers to watch the entire video to receive the payoff. Content creators often design their material to elicit reactions and shares, which can distort information by prioritizing entertainment at the expense of learning.

The battle for mindshare is fierce —competing with a cacophony of voices, channels, devices, and platforms, many of which are motivated by capturing and holding the learner’s attention, commenting, and critiquing rather than adding value, insight, and perspective. It is the person in the arena that you should seek and learn from. As Teddy Roosevelt, it is the authentic actor in the arena that matters:

A term to describe the irrational fear that artificial intelligence will become sentient, pose an existential threat to humanity, and destroy us. Far more likely is that we will encounter a bad actor in physical form, a wizard behind the digital curtain, long before we run into a Terminator. (If this is too dark a future to envision, see Artificial Irish or Ada Intelligence)

At best, AI is an original arrangement of existing thought. Generative AIs use predictive algorithms to determine what comes next and complete thoughts. The extent to which you craft and arrange prompts affects the outcome, as most generative AIs rely on the tokenization of prompts.[i] Rather than truly understanding the question, AI tries to recognize patterns in the data it has been trained on and generate text that fits those patterns.

Or Adroit, Adept, or Astute Intelligence. One of the best uses we have found working with AIs is to go all Hemingway with language. With proper prompting, AI's penchant for perfect phrasing [i] assists in crafting clear, concise, and compelling language. Generative AIs can pinpoint precise words and phrases to fit specific sentences or convey nuanced ideas more accurately. Unlike dictionaries or thesauruses, they allow you to describe the word, context, and semantics of the usage you hope for and find multiple instances of a word to improve communication.

AI’s ubiquitous power to simulate human thought processes, combined with the widespread availability of AI tools, large language models, and social platforms for communication, can be misused to create deceptive digital environments — deepfakes and synthetic media. In the hands of bad actors, AI can be used to create elaborate and convincing deceptions. Much like a Potemkin village, this malicious artifice intelligence creates digital façades that can obscure reality, spread misinformation, manipulate public opinion, and undermine trust in institutions at scale.

AIs can perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and language understanding. While AI offers immense potential to streamline processes, enhance creativity, and drive innovation, it also presents risks, particularly when it comes to authenticity and originality. When we rely too heavily on AI to generate content, we risk losing the unique qualities that distinguish us as individuals and organizations. Our identity can become artificial, indistinguishable from the mass-produced content flooding the digital landscape.

An AI can assist or take on as much responsibility as is assigned to it. Artificial identities can range from chatbots that engage in human-like conversations to sophisticated algorithms that create personalized experiences. While AI can create compelling digital personas and craft persuasive messages, it cannot fully capture the essence of a brand. True brand identity is rooted in human values, emotions, and experiences. A brand's authentic identity sets it apart. Ultimately, while AI can create compelling and persuasive digital identities, it cannot fully replicate the nuances of human interaction and genuine connections that are the hallmarks of brand identity.