A New Era of Human-AI Collaboration: the case for the AI personal computer

The case for a Human-Augmented Intelligent System. A universal Ai-based operating system seamlessly integrated with existing day-to-day technology with user-friendly interface would allow for widespread adoption and accessibility, for all users regardless of technical expertise.

Artificial intelligence (AI) is rapidly changing the way we live and work. AI-powered machines are automating tasks, making predictions, and providing insights that were once the exclusive domain of human knowledge.

Are we experiencing a changing era for work or anything else to get things done in our lives, one where humans and machines need to learn to collaborate?

I like to predict this new era: I can understand why we must be more creative, strategic, and adaptable than ever before. How is imperative to need to be able to think critically, solve problems, and communicate effectively in this complicated world with a prominent role played now by the machine for us to be able to work. The world and era of human with machines collaboration and productivity has began.

The good news for the optimist paranoid (I am) is that AI is not going to replace humans in the workforce but create new opportunities. AI-powered assistant could free us up to focus on the tasks that we are uniquely good at, such as creativity, problem-solving, and collaboration. This will allow us to be more productive, efficient, and creative in our work and probably enjoy it more as the results.

To me, the future of work is bright. AI is going to make us more productive, efficient, and creative. However, we need to be prepared for this change. We need to develop the skills that will be needed in the new era of work. We also need to be open-minded to working with instructing machines collaboratively and productively.

All this being said, there is a need first for a Human-Augmented Intelligence (HAIS) system we can trust.

What is a human-augmented intelligence system?, it is a software systems AI-powered designed to augment human capabilities in performing daily tasks. A system designed to work alongside humans, providing them with assistance and insights that can help them to be more productive, creative, and efficient.

HAIS can be used in a variety of ways, including:

• Automating tasks that are tedious, repetitive, or dangerous for humans to perform to free up human workers to focus on more creative and strategic work.
• Providing insights into data that would be difficult or impossible to understand on our own. This to help make better decisions, identify new opportunities, and solve problems.
• Collaborating with humans to complete tasks to achieve more than what we can on our own.
• Improving decision-making by providing insights and recommendations based on data.

The Future of Human-Augmented Intelligence (HAIS) System.

HAIS are still in their early stages of development, but they have the potential to revolutionize the way we work and live. As AI continues to develop, HAIS will become even more powerful and sophisticated and part of the fabric of lives an essential part, helping us to be more productive, efficient, and creative.

Here are some examples of how HAIS could be used in the future:

In education: to personalize learning, provide feedback, and collaborate with students. This could lead to a more effective and engaging educational experience.

In healthcare: to diagnose diseases, provide treatment recommendations, and collaborate with healthcare professionals. This could lead to a more personalized and effective healthcare experience.

In finance, accounting and laws: to provide better decision-making by providing insights and recommendations based on data.

Here are some examples of today’s HAI system applications use-cases in development:

• Google AI’s Bard: Bard is a large language model that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. It is still under development, but it is already being used by researchers and developers.
• OpenAI’s Five: Five is a reinforcement learning system that can play games at a superhuman level. OpenAI is using it to develop HAIS that can help people to learn new skills and improve their performance.
• DeepMind’s AlphaFold: AlphaFold is a protein folding system that can predict the structure of proteins with unprecedented accuracy. It is being used by DeepMind to develop HAIS that can help people to design new drugs and treatments.
• Facebook AI’s M2M-100: M2M-100 is a multilingual machine translation system that can translate between 100 languages. It is being used by Facebook to develop is HAI with a aim to help people to communicate with each other across language barriers.
• Depl translation model: a neural machine translation (NMT) model developed by Depl.ai – precise and accurate translations.
• AutoGPT, a Python application that uses OpenAI’s GPT-4 API operate autonomously for a variety of tasks without much human intervention.

These are just a few examples of HAIS. As AI continues to develop, we can expect to see even more innovative ways to use HAIS to improve our lives.

Ethical Thoughts:

The battle for Human Augmented Intelligent Systems (HAIS) is engaged between Microsoft and Google for the consumers and certainly in all industry segments in-commerce. HAIS are the AI use case to watch — they have the potential to build a next-generation of Human-Augmented Intelligent Systems for everyone in one operating system. A major force for developing productivity and augmenting human capabilities, to create a more intelligent, productive, efficient, and creative world but also new challenges particularly with intellectual property rights and law. AI work in a way that it can create any original works derived from work that is subject to copyright protection. The application of A.I. needs clear guidelines on what define generated content ownership and infringement.

META reference on AI collaboration research https://ai.facebook.com/blog/teaching-ai-to-be-more-collaborative-with-humans-without-learning-directly-from-them/

Notes about the author:

Image auto-generated by Midjourney from nexus66 (me)

ChatGpt4 and Barbs assisted with the research from my prompt, I.e., AI as an operating system.