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Michael Zammuto argues that AI Bias Can Do As Much Damage As Data Breaches


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Bias is the new “Breach” – Managing Bias Risk in an Automated World

In The Next Decade, AI Bias Will Do As Much Damage As Data Breaches

Data breaches are a terrible risk to enterprises. We run off data and a breach mean a failure in the commitment to safeguard data. It leads to hug costs to an enterprise; civil and sometimes criminal liability can follow. Allowing bias to creep into AI algorithms can have a similar destructive impact on the firm and, as I wrote this week on CIO.com, I believe that the next 10 years will prove that out.

Reliable Data

An AI system is only as good as the data we provide it. If we’re providing it with biased data sets, it’s going to produce biased outcomes. Software engineers and project managers have to be conscious of this possibility and they have to work to prevent it. If the system starts with a clean data set, we can be confident that it will provide valuable assistance to a business organization.

Introducing Systemic Diversity

It’s probably not enough just to avoid biased data sets though. AI is a technology that’s designed to grow and evolve – we must work hard to ensure it can recognize the diversity of our society and organizations. Recently there have been stories in the news of facial recognition systems that have trouble with anyone that isn’t white and male. If we’re going to avoid these issues, AI systems must be introduced to as much diversity as possible.

Training and Testing

As humans, we aren’t born with personal biases and prejudice. These are things we develop over time as we’re influenced by our family, friends, and society. The same thing can happen in our AI systems if we’re not careful, no matter how much care we take to avoid it in development.

If we’re going to make sure that AI remains free from bias in our business systems, we have to be constantly re-evaluating and upgrading. Programmers must be trained to spot it and the average end user must have the tools to help correct it as well.

There is obviously much, much more to say on the topic. To read more you can start here.

About the Author

Michael Zammuto is CEO and chief consultant for Cloud Commerce Consulting

Michael Zammuto on Automation and Jobs


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CIO.com: Getting Business Buy In When AI Destroys Jobs

Automation Will Destroy  Jobs – How Do You Get Organizational Buy In For That?

Michael Zammuto's Column On CIO Magazine's site - Practical AI, Data and Analytics Strategies

Michael Zammuto’s Column On CIO Magazine’s site – Practical AI, Data and Analytics Strategies

In his latest installment on his CIO.com column, Cloud Commerce Consulting CEO, Michael Zammuto talks openly about automation. Enterprise IT initiatives need business partners to succeed. But AI focuses on automation and that means job destruction along with productivity gains.

Many AI initiatives offer a new challenge. We have the ability to automate not just manufacturing, field, service and support jobs but, increasingly white collar, leadership and technology roles. He argues that this means AI will challenge the empires and possibly the careers of the very people you need to drive the initiative. In his article, he talks about innovation, buy-in and the reality of white collar automation.

 

 

 

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Michael Zammuto's Column On CIO Magazine's site - Practical AI, Data and Analytics Strategies


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CCC on CIO.com – AI Can Fix Your Data For You

AI is Different Because Scales With Data

Cloud Commerce Data

Cloud Commerce & AI Can Help Make Projects Scale

Cloud Commerce Consulting CEO, Michael Zammuto wrote recently on his CIO.com column about the impact of data challenges on IT initiatives. Mike argues that many promising IT initiatives stall because they depend upon data being cleaned, enriched or combined as a precursor to success. BI and analytics projects are particularly dependent upon good data. Even with the best traditional tools and techniques, the process of preparing data for these projects does not scale well, often negatively.

This means trouble for IT chiefs and business sponsors alike. Mike argues that because machine learning algorithms can learn to categorize and clean data better as you as it processes more data, this means that AI is the only approach that scales data projects well.

 

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Michael Zammuto's Column On CIO Magazine's site - Practical AI, Data and Analytics Strategies


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CIO.com Article – 8 AI Technologies Your Enterprise Needs Today

Exec Summary and Reference Sheet on AI

Cloud Commerce CEO Michael Zammuto published a new article on CIO.com entitled 8 artificial intelligence technologies your enterprise needs today. The article is an executive summary and quick reference for CIOs and other functional, technology and business executives who are interested in understanding the most critical aspects of this crucial and transformative technology.

“AI” Is An Overloaded Term

Zammuto argues that the term “Artificial Intelligence” is an overloaded term. To insiders, academics and researchers this term is shorthand for general artificial intelligence which is the common view of AI as a system with intelligence that typically is modeled on biological cognitive systems. General AI is not a commercial product yet and is confined to research projects, predominantly.

Understanding The “AI Landscape”

Zammuto argues that, for enterprises,  the term “AI” is more reflective of an “AI Landscape” that includes many interconnected technologies, available from a broad range of sources and vendors. Of these are ones that get a lot of media attention, including machine learning and automated assistants and chat bots, as well as less broadly appreciated technologies with massive potential including natural language generation and decision management.

Michael Zammuto writes on both CIO.com and Business.com


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CIO.com Article: Why Enterprises Need A CAIO (chief AI officer)

CIOs Shouldn’t Try To Tackle C-suite Leadership on AI Alone

CEO Michael Zammuto’s first article arguing that AI and the big data and analytics work typically required to support an enterprise AI initiative is critical to success of the modern enterprise. He argues that the winners in every industry will emerge from the AI champions and that focus, talent and the ability to execute are critical to enterprise success.

UPDATE: Thank you for all the feeedback and support. We expect to publish much more very soon.


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AI Strategy IS Business Strategy

A New Innovation Model: Amazon Evolved from Books to Cloud and Groceries & Meal Delivery

Data, AI, Automation, Quantum Computing and the Post-PC Revolution

IDC projects that total worldwide data will be 163ZB (that is a trillion gigabytes) in five years. The power to transform our world is locked up, unused and unstructured, in this data. Fully a third of business leaders say they cannot access their own data in meaningful ways, let alone discover all new insights from it.

Michael Zammuto Technology Ecoystem Diagram

Cloud Commerce Consulting Strategic Technology Ecoystem

A strategic cluster of technologies will take a fast-growing flame of human knowledge and accelerate it into a chain reaction, immeasurably larger and hotter than anything imagined today.

Innovation in cloud, data and analytics have lit a fuse. EDM and machine learning added fuel and commercial AI and Quantum Computing will launch self-fueling chain reaction.

Cloud accelerated data, data accelerated analytics, analytics accelerated automation, EDM accelerated analytics, AI accelerates automation. Quantum computing will supercharge the whole ecosystem. 

AI Growth Accelerating Past 300% a Year

Forrester says businesses investment in machine learning and artificial intelligence (AI) will increase 300% in 2017 than in 2016. Current generations of Machine Learning technologies allow us to analyze data at scale and will ’drive faster business decisions in marketing, e-commerce, product management, and other areas of the business by helping close the gap from insights to action.’ AI will be used to automate discovery, experimentation and even coding and further AI. It is a self-fueling technology with no practical limit in scale.

Rose’s Law of Quantum Computing is Moore’s Law on Steroids

Rose’s famed predictions for Quantum Computing tell us that we are about to break Moore’s Law forever. For all our technology improvements, we compute much like we did decades ago. We don’t know when we will get commercial devices that use quantum states in place of binary values. But we know when we do it will change everything. Quantum devices will allow AI to solve problems and innovate, manage data and develop insights at orders of magnitude greater than imagined today.

The End of Tools

Computers, data, cloud services, analytics tools and so on are tools. Better, more powerful, easier to use tools. AI fuels automation and, when hyper-charged with quantum computing power, takes the tools out of our hands. The chain reaction of all this means innovation at speed and scale that will require new terms for measurement.

The Amazon Innovation Model

This means that humans will primarily contribute principles, strategies and vision to the next revolution. Those who don’t focus on building strategy and capabilities now will be left behind. Companies of all sizes and in every industry need to develop a strategic road map. Innovation will come to every industry and from unexpected directions. The model that took Amazon from books to challenge cloud computing and retail food and meal services is the future of innovation. Their strategic competitive driver is data and computing power. They didn’t expand or pivot into new businesses, these businesses were exposed to disruption by anyone who could innovate using this new model.

Contact us today. CCC helps business and technical leaders to develop these strategies and capabilities to ensure more than their survival.