Too many business leaders still believe that AI is just another ‘plug and play’ incremental technological investment. In reality, gaining a competitive advantage through AI requires organizational transformation of the kind exemplified by companies leading in this era: Google, Haier, Apple, Zappos, and Siemens. These companies don’t just have better technology — they have transformed the way they do business so that human resources can be augmented with machine powers.
How do they do it? To find out, we conducted a multistage study over five years, beginning with a survey of senior managers and executives, followed by interviews and surveys across a wide range of industries to identify technology implementation strategies and barriers, and in-depth studies of five leading organizations. Our key takeaway is counterintuitive. Competing in the age of AI is not about being technology-driven per se — it’s a question of new organizational structures that use technology to bring out the best in people. The secret to making this work, we learned, is the business model itself, where machines and humans are integrated to complement each other. Machines do repetitive and automated tasks and will always be more precise and faster. Read More
Tag Archives: Augmented Intelligence
Can artificial intelligence prompt a creative revolution?
It’s an unlikely partnership, but AI can stimulate a ‘new brand’ of human creativity.
- Thanks to our ability to contextualize, think metaphorically and define new patterns, human creativity remains distinguished from machine’s
- Creative transformation using AI is not a one-off change, but a long-form process
- Through freeing up our time, giving us prompts and future-proofing our efforts, AI may help us realize new, exciting, creative directions
Consistent Estimators for Learning to Defer to an Expert
Learning algorithms are often used in conjunction with expert decision makers in practical scenarios, however this fact is largely ignored when designing these algorithms. In this paper we explore how to learn predictors that can either predict or choose to defer the decision to a downstream expert. Given only samples of the expert’s decisions, we give a procedure based on learning a classifier and a rejector and analyze it theoretically. Our approach is based on a novel reduction to cost sensitive learning where we give a consistent surrogate loss for cost sensitive learning that generalizes the cross entropy loss. We show the effectiveness of our approach on a variety of experimental tasks. Read More
Augmented Intelligence is the New Intelligence
What does it mean when shifting from AI to augmented intelligence?
The future of decision-making includes an inventive blend of information, analytics, and artificial intelligence (AI), with the perfect scramble of human judgment. The outcome is augmented intelligence, where the analytical force and speed of AI assumes control over most of data processing, controlling human workers to make progressively agile, more intelligent choices and find new discoveries. Read More
9 emerging job roles for the future of AI
AI is poised to transform nearly every industry, and with it will come significant changes for many job functions. Many roles across organizations will require at least some use of artificial intelligence technologies in the coming years, creating massive new opportunities for the AI-savvy regardless of discipline. Read More
Algorithms are designing better buildings
When giant blobs began appearing on city skylines around the world in the late 1980s and 1990s, it marked not an alien invasion but the impact of computers on the practice of building design.
Thanks to computer-aided design (CAD), architects were able to experiment with new organic forms, free from the restraints of slide rules and protractors. The result was famous curvy buildings such as Frank Gehry’s Guggenheim Museum in Bilbao and Future Systems’ Selfridges Department Store in Birmingham.
Today, computers are poised to change buildings once again, this time with algorithms that can inform, refine and even create new designs. Even weirder shapes are just the start: algorithms can now work out the best ways to lay out rooms, construct the buildings and even change them over time to meet users’ needs. In this way, algorithms are giving architects a whole new toolbox with which to realise and improve their ideas. Read More
The next step for artificial intelligence: full-fledged interaction between man and machine – Innovation Origins
The next step for artificial intelligence: full-fledged interaction between man and machine – Innovation Origins
Frank van Harmelen is a professor in Knowledge Representation & Reasoning at the Department of Artificial Intelligence at the Free University of Amsterdam and director of the Hybrid Intelligence Centre. We talked to him about the latest developments in the field of cooperation between man and machine, i.e., between human and artificial intelligence. Why is it so crucial that humankind is at the center of such collaboration? And what does this collaboration look like in the future? “We have to let go of the idea that machine intelligence will eventually become like human intelligence. The two are very different, so we have to find out how these two can best strengthen each other.” Read More
Defining and Unpacking Transformative AI
Recently the concept of transformative AI(TAI) has begun to receive attention in the AI policy space. TAI is often framed as an alternative formulation to notions of strong AI (e.g. artificial general intelligence or superintelligence) and reflects increasing consensus that advanced AI which does not fit these definitions may nonetheless have extreme and long-lasting impacts on society. However, the term TAI is poorly defined and often used ambiguously. Some use the notion of TAI to describe levels of societal transformation associated with previous ‘general purpose technologies’ (GPTs) such as electricity or the internal combustion engine. Others use the term to refer to more drastic levels of trans-formation comparable to the agricultural or industrial revolutions. The notion has also been used much more loosely, with some implying that current AI systems are already having a transformative impact on society.
This paper unpacks and analyses the notion of TAI, pro-posing a distinction between TAI and radically transformative AI(RTAI), roughly corresponding to societal change on the level of the agricultural or industrial revolutions. We describe some relevant dimensions associated with each and discuss what kinds of advances in capabilities they might require. We further consider the relationship between TAI and RTAI and whether we should necessarily expect a period of TAI to precede the emergence of RTAI. This analysis is important as it can help guide discussions among AI policy researchers about how to allocate resources towards mitigating the most extreme impacts of AI and it can bring attention to negative TAI scenarios that are currently neglected. Read More
Is Augmented Intelligence The Best Perspective On AI?
When people think about artificial intelligence, they often think about what intelligence machines can do on their own, without human interaction. However. some of the most powerful and useful AI systems are those that help or augment human capability. The idea of AI systems that augment human ability is known as augmented intelligence. On a recent AI Today Podcast, Professor Tom Davenport from Babson College, senior adviser to Deloitte’s Analytics and AI practices, and fellow of MIT initiative for digital economy shared his perspectives on the power of AI as applied to augmented intelligence. Read More
Defeated Chess Champ Garry Kasparov Has Made Peace With AI
Garry Kasparov is perhaps the greatest chess player in history. For almost two decades after becoming world champion in 1985, he dominated the game with a ferocious style of play and an equally ferocious swagger.
Outside the chess world, however, Kasparov is best known for losing to a machine. In 1997, at the height of his powers, Kasparov was crushed and cowed by an IBM supercomputer called Deep Blue. The loss sent shock waves across the world, and seemed to herald a new era of machine mastery over man. Read More
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