AI – The Potential

AI The Potential

It is now estimated that the sheer quantity of data produced and consumed annually have passed 100 zettabytes.  This is not the total data on the internet and elsewhere, just the amount of data created and consumed in one year.  What is a zettabyte?  A zettabyte is one sextillion bytes, or one billion terabytes.  Many PCs now have terabyte sized storage drives, so if you want to visualize a zettabyte in those terms, it will take one billion, one terabyte drives to store that much information.  Visually that is 1,000,000,000,000,000,000,000 bytes produced each year and growing almost exponentially.

To make matters worse, it is estimated that 90% of all the data being stored are duplicated, not unique.  I email you; you reply with my email attached; you forward it to ten friends; who then reply, and on and on.  You can quickly see how replication gets out of hand in just this one simple example.

Google searches of common items of interest clearly illustrate this issue:

  • Microsoft Windows 11 ~2.62 billion results
  • Apple Computer ~5.86 billion results
  • President Biden ~382 million results
  • President Trump ~1.29 billion results
  • Artificial Intelligence ~1.23 billion results
  • Ukrainian War ~1.16 billion

With all this data analysis and separation of fact from fiction it becomes difficult if not impossible.  It is the flood of information that is in part the difficulty of separating fact from fiction in the world we now live in, and it is in these examples where just one of the benefits of artificial intelligence can be easily proven.

In the current version of GPT-4 in use by Microsoft Bing these billions of resources can be reduced to just a few common references to check.  The ChatBot can find similarities within the data, drop duplicates, hopefully drop erroneous information, and present you with a small list of plausible answers and references to explore.  In newer versions of the software, it can reduce these responses to an answer.  Like it or not, this seems to be the only way to examine the flood of information available and to distill it into manageable responses.

In our example above, rather than 2.62 billion possibilities for “Microsoft Windows 11,” GPT-4 responds with:

“Windows 11 is the next client operating system and includes features that organizations should know.  Windows 11 is built on the same foundation as Windows 10.  If you use Windows 10, then Windows 11 is a natural transition.”

But this is only one and a minor, simple example of the use of AI, it is just one we understand easily.  It is resplendent with benefits, but also dangers which we will discuss in the next article.

The real potential in AI is in using the mountains of data available to create new and unique answers to difficult questions, and unique capabilities in associated technologies.  We see great potential in the ability to analyze data to find solutions where solutions seem to escape mere human analysis.  Perhaps the cure for certain cancers is there, but hidden by the complexity of analysis, or the inability to recognize connections among seemly unrelated “things.”  Perhaps 80% of that answer exists on servers in the United States and the rest is scattered across the globe, lying dormant within mountains of data.

Artificial Intelligence has the possibility of creating new and wonderful technological advances in many fields.  Areas such as robotics are frequently cited, and often this is told with fear of change.  History tells us that when new technologies emerge, opportunity not  devastation follows.  New robotics equal new jobs in programming, repairs, construction, and infrastructure.  For those willing to work and willing to take risks enormous opportunities will be there for the taking.

A significant opportunity with AI is the application of this new technology to data security and security of all forms of communication.  Today with the flood of information traveling the “information superhighway” meaningful security is often beyond any one person or company.  AI at least offers a platform and a path to solve these issues and will create significant high-paying jobs for those trained to take advantage.

However, the natural answer to exploring the opportunities for AI is to ask ChatGPT.  The top article pointed to by ChatGPT appeared on the web site BuiltIn.com in an article by Sam Daley referenced below.  Demonstrating newness of ChatGPT the examples include:

  • Manufacturing Robots
  • Self-driving Cars
  • Smart Assistants
  • Healthcare Management
  • Automated Financial Investing
  • Virtual Travel Booking Agent
  • Social Media Monitoring
  • Marketing Chatbots

 

To us this seems like a superficial list of the potential for AI and does not rate the societal impact of these ideas.  For example, a breakthrough in cancer research does not weigh equally with social media monitoring.  For sure people can relate to this list, but it is by no means inclusive.  Our list would include things that are up the ladder on the magnitude of change and would include:

  • Healthcare, Drug Development, and Medical Research
  • Medical Services Including Robotic Surgeries
  • Design of Optimal Courses of Treatment for Patients
  • Replacement of Manual Labor with Robotics When Desired
  • Foreign Policy Decisions and War Game Theory
  • Development of Next Generation Weaponry
  • Creation of Next Generation Technologies for Chips and Programming
  • Energy Optimization Usage and Creation of New Sources of Energy
  • Food Production Optimization
  • Distributed and Personalized Education
  • Distributed Work and Virtual Workforces
  • Predictive Failure of Most Mechanical and Electronic “Things”
  • New Programming Capabilities Through the Melding of Existing Programming Code
  • Elimination of Data Security Issues and Privacy Monitoring
  • Investing in Markets and Assets
  • Writing of Laws and Regulations

For all of us the issue will not be where can we depl0y AI but where SHOULD we deploy AI?  The potential will be limitless, but so will the potential for abuse.  We will explore this phenomenon in the next installment of this discussion.

Resources Used In These Articles

36 Artificial Intelligence Examples Shaking Up Business Across Industries, By Sam Daley, updated by Parul Pandey and Matthew Urwin, BuiltIn.com, February 17, 2023.

Advantages and Disadvantages of Artificial Intelligence, By Nikita Duggal, simplilearn.com, March 9, 2023.

All the Benefits of Artificial Intelligence, Western Governors University, wgu.edu, April 25, 2022.

Big Data Statistics 2023: How Much Data is in The World?, by Ogi Djuraskovic, FirstSiteGuide.com, December 26, 2022.

ChatGPT explained: everything you need to know about the AI chatbot, By Mark Wilson, TechRadar.com, March 15, 2023.

Don’t overlook independence in Responsible AI, by Editorial Team, insideBIGDATA.com, March 17, 2023.

How Fast Is Technology Advancing in 2023?, by Jacquelyn Bulao, techjury.com, February 27, 2023.

How Fast Is Technology Growing – Can Moore’s Law Still Explain the Progress?, By Nick Gavon, WebTribunal.com, March 4, 2023.

How Fast Is Technology Growing Statistics [Updated 2023], By Darina L., March 7, 2023.

How Much Data Is Created Every Day?  +27 Staggering Stats, by Branka Vuleto, SeedScientific.com, October 28, 2021.

OpenAI Charter: Our Charter describes the principles we use to execute on, OpenAI’s mission, OpenAI.com, last accessed March 19, 2023.

Pros and cons of AI: Is Artificial Intelligence suitable for you?, By Eray Eliacik, Dataconomy.com, August 19, 2022.

Sparks of Artificial General Intelligence: Early experiments with GPT-4, By Microsoft Research, ~March 24, 2023.

Sparks of Consciousness: The Era Of Artificial General Intelligence, By Scott Porter, LinkedIn.com, March 27, 2023.

The Exponential Growth of Data, by Editorial Team, insideBIGDATA.com, February 16, 2017.

Top 7 Different Uses of Artificial Intelligence, by Java Assignment Help, JavaAssignmentHelp.com, December 15, 2021.

Transformer Neural Networks, DeepAI.com, March 20, 2022.

Unintended Consequences, by Rob Norton, UPenn.edu, Date Not Cited.

What’s the real story behind the explosive growth of data?, by Ulrike Hack, redgate.com, September 8, 2021.

Why Elon Musk and Steve Wozniak have said AI can ‘pose profound risks to society and humanity,’ by Explained Desk, The Indian Express, indianexpress.com, April 3, 2023.

Xi, Putin declare intent to rule the world of AI, infosec, by Simon Sharwood, TheRegister.com, March 22, 2023.