The term artificial intelligence (A.I.) has been around for decades:
- Back in 1921 and 1929, the term “robots” came into play
- In 1950, Alan Turing published “Computer Machinery and Intelligence” to test machine intelligence (Watch “The Imitation Game” to see how this LGBTQ+ scientist pioneered computer science)
- The first use of the term “artificial intelligence (A.I.)” was in 1952 when computer scientist Arthur Samuel developed a program to play checkers. Samuel was also the first to popularize the term “machine learning”
- Then, in 1955 John McCarthy held a workshop at Dartmouth on “artificial intelligence” which marked the first mainstream use of that phrase
Without going into the use or misuse of the term, A.I. has grown to a new level of maturity both in its development and in its perception.
The dawn of true A.I. existing and replacing misuse is fast approaching. Its processing power is making logic trees and other advanced logistical tasks possible.
We are moving beyond LISP (acronym for LIST Processing), to A.I. chatbots, to OpenAI and GPT-3. These things have revolutionized numerous industries, transformed the way we live, work, and interact with technology and each other.
Exploring A.I. Through a Chief Software Architect’s Lens
As a career software architect and lead technologist and the current Chief Software Architect at 3BX, I have witnessed the trends and advances of technology in the area. I have had the privilege of seeing the transformative impact of A.I. firsthand. The impact in the various industries goes way beyond what car been seen on the surface.
I am excited to have this opportunity to share a few of my thoughts on A.I. and its evolving landscape.
In this blog article, I will share my thoughts on A.I. and delve into a few of the latest trends that are shaping the A.I. landscape.
11 Things to Consider When Discussing A.I.
From machine learning to natural language processing, A.I. continues to revolutionize the digital world, offering unprecedented opportunities and challenges. I just hope that these thoughts broaden your perspectives and help you see the wonder that is A.I.. In this blog article, I would like to share my thoughts on A.I. and delve into the latest trends that are shaping the A.I. landscape. Let us look at a few A.I. facts:
1. A.I.’s Impact on Business
It is enhancing business processes, decision-making, and customer experiences. As an ex-CIO/CTO, I have witnessed firsthand how A.I.-powered solutions streamline operations, automate repetitive tasks and extract valuable insights from data. Now there are such things as chatbots and virtual assistants to predictive analytics and personalized marketing.
2. A.I. is a Disruptive Force in Many Industries
A.I. has emerged as a disruptive force across industries, helping and enabling businesses to gain insights, automate processes, and enhance decision-making. The improved speeds that A.I.’s can analyze data are changing many industries, like healthcare, finance, manufacturing, and more.
As a Chief Architect, it is crucial to understand the disruptive potential of A.I. both for the good and the bad, to strategize its use and implementation. If for no other reason than to stay ahead in today’s digital landscape.
3. Machine Learning vs Deep Learning
Machine learning, a subset of A.I. and deep learning are the pillars of A.I., driving its remarkable capabilities. These have enabled systems to learn from data and improve their performance without explicit programming.
Machine learning algorithms enable computers to learn from data, make predictions, and take actions. There are deep learning models, based on the human brain’s neural networks have impacted areas such as computer vision and natural language processing.
These artificial networks have aided in excelling in recognizing complex patterns and extracting insights from unstructured data. Other things like areas such as computer vision and natural language processing have taken huge steps forward. As A.I. evolves, investing in research and development of these techniques is fundamental for organizations to unlock their potential.
4. The Rise of Edge Computing
A.I.’s growing demand for real-time processing and low-latency applications will increase and improve the rise of edge computing, bringing computation closer to the data source. Since edge computing minimizes data transfer and enhances response times, it can make so many other processing-based technologies a reality.
Edge A.I., powered by edge computing infrastructure, allows for real-time decision-making and analysis at the network edge. As Chief Architect, I can foresee and understand the interplay between A.I. and edge computing. I can see the potential for optimizing network architecture and ensuring efficient A.I. deployments and A.I.-based processing environments.
5. A.I., Human Resources (H.R.) and Legality
HR: AI in the workplace complements jobs — for now https://t.co/2Ny77Rd1To— TechTarget News (@TechTargetNews) November 4, 2022
In terms of the legal industries or other industries such as H.R., A.I. could have marked impact. A.I. can address biased decisions or legal disputes by using algorithms trained on biased data to stop the perpetuation of discrimination and inequalities. Work is being done to develop techniques for bias mitigation and fairness. Then A.I. trained for this as well as ethical considerations such as privacy and data governance could benefit society.
6. A.I. and Bias Mitigation
As A.I. technologies proliferate, addressing bias and ensuring ethical use of A.I. systems becomes imperative. A.I. algorithms trained on biased data can perpetuate discrimination and inequalities. The A.I. community is actively working towards developing techniques for bias mitigation and fairness. Ethical considerations such as privacy, data governance, and algorithmic transparency are crucial for building A.I. systems that benefit society.
7. Explainable A.I.
Before we say "explainable AI" we must decide WHAT is it that we wish to explain. Are we about to explain the function that the system fitted to the data? or are we about to explain the world behind the data? Science writers seem unaware of the difference. https://t.co/IpIdN0PDTY— Judea Pearl (@yudapearl) August 19, 2021
As A.I. becomes more pervasive, the need for transparency and interpretability becomes paramount. A.I. acceptance and traction within an organization, hinges on the business or organization understanding how A.I. ties into themselves, and what could be the conclusions of such an adoption.
This trend is particularly crucial in domains like healthcare, finance, and legal systems. It crucial to adopt the things A.I. offers ethically. As an Architect and technology practitioner, I emphasize the need for A.I. systems that provide clear explanations for their decisions and decision moving forward.
8. Ethical Considerations in A.I.
Yes, there are ethical considerations that should be considered. As A.I. becomes deeply integrated into our daily lives, ethical considerations surrounding its use are crucial. Issues such as algorithmic bias, data privacy, and transparency need to be addressed to build trust and foster responsible A.I. adoption. As a Chief Architect, it is essential to lead by example and ensure that ethical guidelines and regulations are incorporated into 3BX’s use of A.I. systems. These same ethical considerations need explored by all organizations in some manner.
9. A.I. and Cybersecurity
With the increasing organizational adoption of A.I., the cybersecurity landscape will also evolve. Not just organizations, but those who would use A.I. as a disruptive or criminal force need to be considered. A.I.-based solutions are now being employed to detect and prevent cyber threats. That is because there are many ways and aspects that A.I. is and can be used to create new risks and vulnerabilities. Adversarial attacks, where AI models are manipulated or deceived, are just one way A.I. poses a threat. Robust security measures, including encryption, anomaly detection, and continuous monitoring, are crucial to protect A.I. systems and the sensitive data they process. Yes, A.I. will be used for some of these very things to first the misuse of A.I.
10. Natural Language Processing (NLP)
You cannot write anything talking about A.I. unless you mention NLP.. The devices which have made it possible have influenced many people’s lives. NLP focuses on the interaction between humans and computers using natural language.
Thanks to advancements in A.I., NLP has reached new heights. Voice assistants like Siri and Alexa have become household names, while language translation tools have made communication across borders seamless. NLP has also made significant strides in sentiment analysis, chatbots, and text generation, enhancing customer experiences and enabling personalized interactions.
11. Collaborative A.I.: Human-Machine Partnership
There are some who feel that A.I. is meant to replace humans but to augment their capabilities. That Is not the case, just like any other new Technolgy there are pluses and minus to what was before. Let us take Collaborative A.I., known as Augmented Intelligence, which will help in leveraging A.I. to enhance human decision-making.
This will not replace humans, but augment what they can do. This approach allows humans to leverage the power of A.I. in complex tasks while providing the final judgment and creativity that machines lack.
As a Chief Architect, promoting the symbiotic relationship between humans and A.I. can lead to more effective and efficient solutions. Showing teammates and the company what can be gained by using A.I.. I will explore how this can enhance what 3BX can and will do.
A.I. and 3BX
As a technology practitioner, I have witnessed the incredible transformations in technology to what it has become today, A.I.. Embracing A.I. as a positive yet disruptive force, using machine learning and deep learning, leveraging edge computing, prioritizing ethics can be a beneficial thing.
I believe that fostering human-machine collaboration and embracing the positives can enable one to not just keep up with the new landscape, but to enhance what the A.I. landscape offers.
By embracing these trends and capitalizing on the power of A.I., organizations can unlock new opportunities and abilities and A.I. can drive innovation across industries. Let us unlock a future where technology serves as a catalyst for positive change, and not see it as a negative.
You might say “what comes next for AI?” well that might be a future blog.
About the Author
Dr. Christopher Peacock is the Chief Architect at 3BX. A dynamic visionary leader ahead to the wave, Dr. P, as he is known amongst the 3BX family, boasts 30+ years of innovative, entrepreneurial and strategic thought leadership experience. Outside of his work at 3BX, Dr. P has been a martial arts practitioner for 40+ years, is a published author who has taken creative and technical writing by storm. Dr. P comes from a long line of armed service professionals, his father having served for over 25 years in both the US Air Force and the US Navy. Peacock himself served in the U.S. Army while simultaneously working as an entrepeneur in the video gaming industry. After decades working as a Chief Technical Officer and Chief Information Officer, Dr. P has embraced his role as Chief Architect at 3BX to further ignite his passion for the arts.