This article offers the perspective of an Innovation Manager with over of 20 years of professional and academic experience on the impact of Artificial Intelligence (AI) on daily life as per knowledge in mid-August 2024.
The current AI Revolution marks a profound shift, surpassing previous industrial and digital transformations. AI is being rapidly integrated into daily life, from recommendation systems to virtual assistants. Understanding AI from the user’s perspective is crucial. Key to managing this revolution is timely adoption, strategic approach, and practical application. AI offers extensive personal benefits, aiding information retrieval, content creation and personalized assistance. AI automates tasks, transforms business processes and impacts various sectors, while human intelligence will be more and more important in ensuring empathy and complex reasoning.
Artificial Intelligence + Human Intelligence = Assisted Intelligence!
Generative AI (GenAI) is a significant advancement, creating new content such as text, images, audio, video and code. GenAI can work synergistically with AI to enhance outcomes. However, it is not an exact science and can produce a bias and/or hallucinations; human role is to identify and solve such content issues. Large Language Models (LLMs) are trained on vast datasets to understand and generate new contents. Chatbots use LLMs to simulate human conversations. LLMs come in both closed and open-source models, each with distinct features. The future of AI involves integrating Small Language Models (SLMs) into personal devices. Cultural influences on AI training must be considered. Responsible AI use requires ethical application, critical review, and understanding its capabilities and limitations. AI should be used with wisdom (not just as an end-to-end tool, whose outputs are ready to cut and paste). GenAI needs prompt engineering skills. Specialized LLMs, Chatbots and tools are available for generating texts, translations, images, audios, videos, code. Some models that can generate more than one output are multimodal LLMs. Methods for marking AI contents and tools to distinguish AI-generated contents and deep fake will became more and more necessary. Copywriters, translators, sound designers/musicians, photographers, video-makers will evolve their own role, as users will integrate AI into their daily routine, following the golden rules for a responsible use of AI.
Keywords: Artificial Intelligence (AI), Assisted Intelligence, Bias, Chatbot, Generative Artificial Intelligence (GenAI), Hallucination, Large Language Model (LLM), Machine Learning (ML), Prompt Engineering, Responsible AI, Small Language Model (SLM)
Citation: Valacca, R. (2025). Artificial Intelligence: Your New Personal Assistant. Int J Math Expl & Comp Edu.2(1):1-6.