In artificial intelligence, machine learning, decision intelligence, statistics, and science, we use the word “decision” to mean a lot of things. Let’s tease out some distinctions:

Are you thinking: “I’ve heard that AI can provide some value to my organization?” but wondering where to start?

Our mission is to improve lives by empowering students with essential skills and dispositions for making better decisions

To be able to spot business sense in data and find a true answer to the initially asked questions at the required time and adapted to the audience, result visualization is crucial. Humans only have a limited capacity to process information. This is why insight-driven organization’s intelligent tools that serve people by producing target-group specific dashboards ease the decision-making process. In the event of missing or simply not identifiable capabilities in your workforce, the most efficient solution is to get a professional data analyst aboard. In order to create C-level insights and derive first implications a special skill mix between science and art is required. 

It is expected that many organizations will have analysts practicing decision intelligence including decision modeling in the future.

The industrialization of AI platforms enables the reusability, scalability and safety of AI, which accelerates its adoption and growth. This industrialization aims at getting new adopters of AI on par with early adopters. 

According to a recent Gartner survey, the C-suite is steering AI projects, with nearly 30% of projects directed by CEOs. Having the C-suite in the driver’s seat accelerates AI adoption and investment in AI solutions.

For example, decision intelligence indicates that companies want to use AI to make better decisions faster, such as selecting best treatment options for patients or accelerating discovery and prevention of anomalies and vulnerabilities.

Brian Nosek, a University of Virginia psychology professor who has devoted his career to making scientific data more reliable and trustworthy, is frustrated. Like everyone else, he's trying to understand the pandemic, particularly in his own community of Charlottesville, and in California, where he has family.

So he wonders: Where is the virus spreading? Where is it suppressed? Where are people social distancing as they should, and where are they not? Where will he and his family be safe?

In this pandemic, we're swimming in statistics, trends, models, projections, infection rates, death tolls. Nosek has professional expertise in interpreting data, but even he is struggling to make sense of the numbers.

“What's crazy is, we're three months in, and we're still not able to calibrate our risk management. It's a mess,” said Nosek, who runs the Center for Open Science, which advocates for transparency in research. “Tell me what to do! Please!”

Mark your calendars for Dr. Lorien Pratt’s Institute for the Future talk (presented last week) being broadcast on C-SPAN2 Sunday, February 9 at 8pm PT.

Dr. Pratt introduces her book Link (www.linkthebook.com) which describes the new field of Decision Intelligence (DI). Many people think that DI is the next generation of AI, but it also goes considerably beyond that context. She explains how DI is the mechanism by which humans will work hand-in-hand with technology to solve a new class of the most complex problems we face, like climate change and inequality. Pratt shows how decisions can be supported by AI, understood more effectively, and how the use of social messages fits into effective decision making. The broadcast consists of 1/2 Pratt's  presentation and the second half hour of Q&A hosted by Joy Mountford, of Ford’s Research Innovation Center, Palo Alto (RICPA) and the NextNow network.  During the Q&A, questions from a senior technologist audience, many of whom are also involved in DI-related initiatives, create a fascinating interchange.

The complex, adaptive system…can’t be understood by reducing it to smaller parts, it must be viewed holistically. 

The Power of Decision Intelligence  

Finally, an AI platform that takes decision making to a completely new level  

Periculum Labs has pioneered advanced artificial intelligence technologies which enable organizations to optimize complex and high-risk decision-making. Our proprietary AI platform injects real-time intelligence into decisions – at scale. Autonomous transportation organizations can increase operational capacity, safely and sustainably. 

Social media bombards us with big lies. The juicier and click-baitier, the better, and the happier are advertisers. Unfortunately, disinformation is often plausible as well as attractive. By promising to right an imaginary or misplaced wrong it can tempt us to engage in bullying, persecution, and—in the extreme—bloodshed and even murder. The good news is that there’s a pattern to big lies, and so a pattern as well to beating them.

"...quality AI information is clouded by the AI apocalypse narrative. If you google the field, you’ll be challenged to separate medical imaging wheat from AGI chaff. (Don’t tell anyone, friends, there’s no magic here, it’s just math.) AI alone is no more likely to take over the world than is your calculator. Well, unless it’s used as a deniability smokescreen: “It’s not my fault the killer robot smashed your house, it was the AI that did it”.

"Lack of causal understanding makes it very hard to make predictions and deal with novel situations. This is why you see self-driving cars make weird and dangerous mistakes even after having trained for millions of miles.
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Generalizing well outside the i.i.d. setting requires learning not mere statistical associations between variables, but an underlying causal model,” the AI researchers write.

Even though the concept of decision intelligence is still relatively new on local shores, the potential to disrupt the AI market is significant. Companies must be cognisant of this framework and gain an understanding of how to leverage it for optimal data analysis.

How can we leverage our understanding of human physiology, neuroscience, and technology to guide and improve the decision making process for organizations and teams?

In my situation, I believe that DI could have assisted me with the best action to take to achieve my ultimate goal, which is to drive engineering pride across SAP. …

While we may be facing the biggest threat of our lifetime, the good news is that Decision Intelligence (DI) can leverage AI as well as epidemiological, social, and other knowledge sources to help. Including beautiful visualizations, DI can be used by policymakers, media, business leaders and individuals, to make and communicate the impact of their decisions in a complex world.

The human-computer partnership is the future. Decision Intelligence (DI) gives us a formal way to integrate AI into existing decision making. Just having a structured way of thinking through complex decisions can really move the needle, and especially on big problems, even five percent can save lives or save money.

Since 1976, the Association of American Publishers’ awards for Professional and Scholarly Excellence (PROSE Awards) have recognized publishers who produce books, journals, and digital products of extraordinary merit that make a significant contribution to a field of study in the humanities, biological and physical sciences, reference and social sciences.

You advocate using decision intelligence to take AI to the “next level” to help improve conditions in the world. Can you provide some examples of what you envision here? 

• Instead of just using ML to identify where a climate-change-driven flood is likely to impact a country, use DI to choose between several prevention / remediation measures to minimize the cost of property and lives lost. 

• Instead of just using ML to analyze the movement of asteroids, surround the ML model with a DI model to decide what to do to deflect one that is aiming for Earth (this is the nasa.ai's "deflector selector").