Up Next Hybrid Intelligence Systems That Amplify Augment Human

A new book looks at how the integration of artificial and human intelligence will impact individuals, organizations, and society. In their new book, “SuperShifts: Transforming How We Live, Learn, and Work in the Age of Intelligence,” Ja-Naé Duane and Steve Fisher look at how emerging technologies create opportunities for transformation and even the... Among these transformations is what they call “IntelliFusion,” or “the convergence and seamless integration of artificial intelligence with human intelligence, blurring the boundaries between machine and human cognition and giving rise to hybrid intelligence... Duane, a behavioral scientist, is the faculty director of Brown University’s Innovation Management and Entrepreneurship program and an academic research fellow at the MIT Center for Information Systems Research. Fisher is an entrepreneur and futurist. In the excerpt below, the authors discuss how the integration of AI and human intelligence will impact individuals, organizations, and society.

Over the past decade, researchers in Artificial Intelligence (AI) have made ground-breaking progress on long-standing problems. Now that AI is becoming increasingly part of our daily lives, we need to avoid being ruled by machines and their decisions. Hybrid Intelligence (HI) is the combination of human and machine intelligence, expanding human intellect instead of replacing it. It takes human expertise and intentionality into account when making meaningful decisions and perform appropriate actions, together with ethical, legal and societal values. Our goal is to design Hybrid Intelligent systems, an approach to Artificial Intelligence that puts humans at the center, changing the course of the ongoing AI revolution. By providing intelligent artificial collaborators that interact with people we amplify human capacity for learning, reasoning, decision making and problem solving.

The challenge is to build intelligent systems that augment and amplify rather than replace human intelligence, that leverage our strengths and compensate for our weaknesses. Such Hybrid Intelligence requires meaningful interaction between artificial intelligent agents and humans to negotiate and align goals, intentions and implications of actions. Developing HI needs fundamentally new solutions to core research problems in AI: current AI technology surpasses humans in many pattern recognition and machine learning tasks, but it falls short on general world knowledge, common... These challenges will be addressed in four interconnected research lines: Collaborative HI: How to design and build intelligent agents that work in synergy with humans, with awareness of each other's strengths and limitations? Adaptive HI: HI systems will need to operate in situations not anticipated by their designers, and cope with variable team configurations, preferences and roles. Explainable HI: Intelligent agents and humans need to be able to mutually explain to each other what is happening (shared awareness), what they want to achieve (shared goals), and what collaborative ways they see...

Applications in healthcare, education and science will demonstrate the potential of Hybrid Intelligence: virtual agents and robots will help children with concentration problems to study better; virtual agents and robots will support children in... The team brings together top AI researchers from across the Netherlands in machine learning, knowledge representation, natural language understanding & generation, multi-agent systems, human collaboration, cognitive psychology, multimodal interaction, social robotics, AI & law... We will initiate a Hybrid Intelligence Centre (HI Centre) to host joint research facilities, multidisciplinary PhD programs, and training and exchange programs. Sustainability of the HI Centre is ensured through tenure track positions with guaranteed long-term funding from the participating universities. With Gravitation, the government encourages excellent research in the Netherlands. The programme is for scientific consortia that have the potential to rank among the world's best in their field.

The programme is a form of direct government research funding. The Ministry of Education, Culture and Science has asked NWO to realise a selection procedure for Gravitation. Themes 2015-2018 (Verbind onderzoek) 2015-2018 (Verbind onderzoek) Vrij onderzoek Hoofdthema Hoofdthema Kunstmatige Intelligentie AI In recent weeks, the AI landscape reached a new milestone with the release of several reasoning models, including OpenAI’s ChatGPT o3-mini, Deep Seek-R1 and Gemini 2.0 Flash. Building on the foundations laid by models like GPT-3 and GPT-4, these latest systems demonstrate notable gains in logical consistency and context awareness. Their rapid evolution does not unfold in isolation but coincide with technological strides on multiple fronts.

A pragmatic response to these converging trends would be an investment in double literacy, an approach that curates and aligns both natural and artificial intelligence as a way of curating hybrid intelligence. Why? As AI systems grow more capable, jailbreaking — manipulating AI to bypass its built-in constraints — has become an increasingly pressing concern. More powerful models often prove more vulnerable to exploitation, challenging developers and policymakers to keep safeguards ahead of potential misuse. At the same time, agentic AI and robotics are making striking advances. Robots researched by NASA robotics and pioneered by Boston Dynamics, among others, illustrate how physical machines equipped with sophisticated sensors and actuators can now navigate, manipulate objects, and execute tasks with unprecedented agility.

Meanwhile, purely software-based AI agents — think advanced virtual assistants or complex problem-solving programs — leverage machine learning, natural language processing, and large-scale data analysis to make autonomous decisions. They already tackle intricate tasks such as medical diagnostics or financial modeling without needing a physical form. Increasingly, these two fields converge: software agents orchestrate fleets of robots, while robots generate invaluable real-world data to feed AI’s learning processes. Yet, with the rise of powerful AI comes a heightened risk of jailbreaking and related vulnerabilities. The smarter these systems become, the harder they can be to control, underscoring the need for a balanced, human-guided approach that ensures such technologies serve constructive ends. Posted March 12, 2025 | Reviewed by Gary Drevitch

In an era when artificial intelligence increasingly permeates our daily lives, a new paradigm is due to emerge: hybrid intelligence. This concept represents the powerful synthesis of human cognition — with its holistic understanding of brain and body, self and society — and the computational prowess of AI systems. Rather than viewing AI as either a replacement for human intelligence or merely a tool, hybrid intelligence recognizes the complementary strengths of both forms of experience and expression. The first aspect to keep in our human mind as we navigate the unchartered territory of an AI-saturated landscape is that technology inherits human values. We cannot expect tomorrow's AI systems to embody ethical principles that we ourselves fail to uphold today. The "garbage in, garbage out" principle applies equally to values: values in, values out.

AI systems learn from the data we provide and the objectives we set. When trained on biased datasets or optimized for narrow metrics like engagement or profit at the expense of human well-being, these systems predictably perpetuate and amplify existing societal problems. The algorithms powering recommendation systems, hiring tools, and predictive policing don't spontaneously develop ethical frameworks; they reflect the implicit values embedded in their design and training. This reality places a profound responsibility on humans. Technology will not save us from ourselves. We must deliberately choose which values to embed in our AI systems and actively work to implement them.

This isn't simply a technical challenge but an uncomfortably human one that requires honest reflection about our priorities, as individuals and as a society. Invalid DOI was provided, please try again This website uses cookies in order to improve your web experience. Read our Cookies Policy Andy Nguyen, University of Oulu[email protected] Michail Giannakos, Norwegian University of Science and Technology (NTNU)[email protected]

Vassilis Kostakos, University of Melbourne[email protected] Alexander Richter, Victoria University of Wellington[email protected] Matthias Söllner, University of Kassel[email protected] At the recent AIBC Sigma event, Dr. Angelo Dalli, a distinguished AI thought leader and the scientific director of CSAI, presented an eye-opening keynote on the transformative future of artificial intelligence. His talk highlighted “Hybrid Intelligence,” a game-changing approach where AI moves from mere automation to becoming an essential partner in human decision-making.

Dr. Dalli’s insights emphasize that AI’s next frontier isn’t about replacing human intuition but enhancing it to achieve high-impact results. In this article, we’ll explore the principles of Hybrid Intelligence, its benefits in real-world applications, and its potential to reshape industries from finance to online gaming. Hybrid Intelligence represents a major evolution in applied AI, taking it beyond traditional data processing and automation. Unlike conventional AI, which primarily crunches numbers and identifies patterns, Hybrid Intelligence involves AI systems that can reason, adapt, and collaborate with human intuition. This new form of AI isn’t just an advanced tool but a strategic partner that aligns with human decision-making processes.

By uniting machine accuracy with human insight, Hybrid Intelligence in AI redefines how technology integrates into complex, real-world environments. In Dr. Dalli’s words, it’s about “amplifying human potential” through an AI system that understands context, builds transparency, and aligns with ethical standards. Applied AI: Real-World Context and Relevance

People Also Search

• Up next: hybrid intelligence systems that amplify, augment human ...
• Hybrid Intelligence (HI): augmenting human intellect - NWO
• Why Hybrid Intelligence Is Our Best Bet To Thrive Now
• Hybrid Intelligence: The Future of Human-AI Collaboration
• Hybrid Intelligence: Humans + AI
• Artificial intelligence, human intelligence and hybrid intelligence ...
• Hybrid-Augmented Intelligent Systems: New Trends and Applications
• Creating Full-Stack Hybrid Reasoning Systems that Prioritize and ...
• Hybrid intelligence across contexts: From conceptualisation to ...
• Hybrid Intelligence: A New Era of AI Amplifying Human Potential