With the growth in popularity of these various types of AI, myths and misconceptions about the field itself have also increased. A common misconception is that some people think AI and machine learning are the same. In reality, AI aims to develop systems that mimic human abilities, while machine learning helps machines learn from data without any programming.
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# The Evolution and Future of Artificial Intelligence: A Student’s Guide

Artificial intelligence (AI) has been swiftly incorporated across many industries by solving real problems through insights and automation. Due to its vast potential, AI's value continues to gain recognition.

How much do you know about AI and its evolution? This article takes you on a decades-long journey of AI advancements, beginning with early research and shifting into its transition from mathematical, scientific, and gaming levels to an assistant in daily applications.

You’ll learn about the future of AI and how it will continue to affect various industries. Understanding how AI will change the worldcan help aspiring students understand why studying the field would be both exciting and beneficial.

## What is Artificial Intelligence?

Most people know of artificial intelligence because it has driven many innovations across different sectors. To fully understand its breadth, we must recognize that AI is an umbrella name for the ability of computers to perform cognitive functions like thinking, learning, problem-solving, and decision-making that require human intelligence.

There are several types of AI depending on their capabilities, including the following:

- Narrow AI: Designed to handle a specific task or set of tasks and cannot perform beyond its programmed abilities.
- General AI: Advanced AI that has the ability to understand, learn, and apply knowledge across a broad range of tasks, much like human intelligence.
- Reactive AI: Makes decisions based solely on current situations and inputs without using past experiences to inform those decisions.
- Limited Memory AI: Can use data from the recent past to make immediate decisions and improve responses, which is commonly seen in autonomous vehicles.
- Self-aware AI: Hypothetical AI with human-like consciousness and self-awareness that understands its own existence and condition in the world.

With the growth in popularity of these various types of AI, myths and misconceptions about the field itself have also increased. A common misconception is that some people think AI and machine learning are the same. In reality, AI aims to develop systems that mimic human abilities, while machine learning helps machines learn from data without any programming.

Perhaps one of the most common fears around AI is its ability to replace humans or render human effort obsolete. Interestingly, this has repeatedly been the case over the years with the introduction of new technology. One example is the Luddites, who protested against textile machinery, which they thought would take their jobs. And there was a time when people thought that computers would replace them. People even once thought cars were dangerous, and a man would run ahead waving a flag to warn others of the oncoming ‘danger!’

The reality is that technology enhances workflows. Most importantly, AI, like new technologies in the past, has the ability to create new jobs. Studying artificial intelligence carves a career path for data scientists, software engineers, and business intelligence developers, among other lucrative jobs.

While most people understand AI from popular inventions like self-driving cars and chatbots, it has also been a game changer in healthcare, finance, education, gaming, retail, energy, and more.

## How AI is Changing the World

The buzz around artificial intelligence lives up to the hype. AI is gradually transforming how people interact with technology and is making considerable strides in healthcare, transportation, education, finance, marketing, and more.

AI is changing the world in the following areas:

- Automation of Tasks: Customer care, manufacturing, and driving have changed hands from human workers to automation. AI automates many repetitive and dangerous tasks that humans previously did with increased precision and added quality.
- Personalization at Scale: Shopping time gets shorter with AI. It powers intelligent product recommendations that suggest items suited to each shopper's browsing profile in e-commerce.
- Healthcare Advancements: AI is applicable in the healthcare industry beyond scanning patient records. With AI, it's now possible to interpret mammograms at 99% accuracy without biopsies. Additionally, diagnoses, new treatments, surgical procedures, and patient monitoring have improved thanks to AI.
- Education Transformation: AI has helped create beneficial, personalized learning experiences by tailoring lessons, assessments, and materials to each student's needs and abilities. Adaptive learning platforms, virtual assistants, and automated grading can make learning more enjoyable and effective. As an added bonus, automating repetitive administrative tasks allows teachers to focus on strategic work.
- Developing New Business Models: We have come a long way from viewing automobiles as risky to having self-driving cars. Such are the AI advancementsfrom business models like virtual assistants and robotic aides. These AI-driven models enhance customer experiences and set new standards in efficiency and data-driven decision-making across industries.
- Agricultural Robotics: Developing precision agricultural robots for weeding, crop monitoring, harvesting, etc., will open opportunities for robotic farmers and agricultural tech providers. These robots contribute to sustainable farming practices by optimizing resource use and reducing the environmental impact of traditional farming methods.

## The History of AI

At one time, people only associated AI with science fiction movies. After that, only mathematicians and scientists gave it much thought. But it’s now playing more prominent roles in the world in ways that were unimaginable in the past.

One of the pioneers of intelligent computers was Alan Turing. Often credited with laying the foundational theory for modern computing, he proposed the concept of a machine that could simulate any other machine (the Turing Machine) in the 1930s. His famous Turing Test, proposed in the 1950s, was a fundamental contribution to the field of AI, challenging whether machines could mimic human intelligence. However, it wasn’t until 1955 that John McCarthy founded AI as an academic discipline and called it “artificial intelligence.” He also developed a programming language called LISP in the late 1950s, which became crucial to AI development.

Deep learning started to develop in the 1990s as researchers began creating early versions of deep learning algorithms, which were initially limited by the need for greater computational power. Then, in 1997, AI won during a chess game. This victory of IBM’s Deep Blue over world chess champion Garry Kasparov was a landmark moment, demonstrating AI's capabilities in mastering complex strategic games that involve deep logical and strategic thinking.

The 1990s were pivotal for AI as more datasets were available, and internet technologies allowed the sharing of datasets for machine learning. The 2000s were even more phenomenal for AI. With more data and computing power, machine learning techniques flourished and assisted in web searches, online ads, and spam filtering, dramatically improving user experiences and system efficiencies.

The 2010s witnessed a surge in deep learning, driven by greater computational power and the availability of big data. This era saw AI making significant strides in fields like natural language processing, autonomous vehicles, and image recognition. As machine learning improved, logic-based AI faded. By this time, systems focused on statistical inference from data rather than human-defined rules.

Then, in the 2020s, deep learning dominated and reshaped aspects of human life. Even larger datasets enabled deep learning to perform tasks beyond human intelligence, like image recognition. It didn’t stop there. DeepMind’s AlphaFold AI model, using deep learning on a massive dataset of experiments on protein structures, solved a problem biologists had been tackling for 50+ years.

The evolution of AI from theoretical exploration to widespread practical application marks one of the most significant technological narratives of the 20th and 21st centuries. The only question remains now:how will AI change the future?

## The Future of Artificial Intelligence

Artificial intelligence is the force behind continuing breakthroughs. It even goes beyond what humans ever thought would be achievable. According to a report, the AI market will go from $150.2 billion in 2023 to $1,345.2 billion by 2030. So,what is the future of AI? Below is a glimpse of what thefuture of AI could look like.

### Job Creation

AI may affect 40% of jobs globally and impact economies. While it will significantly disrupt the job market by automating many existing roles, it will also create new jobs as it transforms and generates new industries. In advanced economies, most jobs may benefit from AI integration and productivity enhancement.

Roles that focus on human creativity, social-emotional skills, and complex management may remain untouched. New jobs will emerge, such as AI specialists, robotics engineers, and user experience designers for AI products. Most jobs will change as automation shifts the mix of skills needed towards more STEM, computer programming, and critical thinking abilities. The solution is to take proactive measures to retrain and upskill to minimize displacement and maximize job creation potential.

### Industry Changes

AI will drive widespread transformations in industries as it becomes more integrated into business operations. By automating repetitive tasks, AI will also boost productivity and assist humans with enhanced data analytics, dynamic decision-making, and personalized recommendations.

The gains in efficiency and productivity will cause a ripple effect and spur the emergence of new business and operating models. Below are some of the primary industries that AI will impact:

#### Healthcare

AI will help diagnose diseases, personalize treatment plans, monitor patients remotely, reduce dosage errors, and more. For instance, 70% of insulin users currently don’t follow their prescriptions. Detecting such errors can help improve healthcare.

#### Education

AI will revolutionize education by enabling personalized and tailored learning experiences for students based on their abilities. Customized learning will provide opportunities for both high-performing and struggling students.

#### Finance

AI algorithms are already applicable to stock trading and investment fund management. Because they can analyze massive amounts of data, AI systems may outperform humans in financial decision-making. The finance industry will benefit from risk and compliance management as AI helps prevent financial disasters.

#### Military and Cybersecurity

AI will enable the development of autonomous weapon systems and robots for military purposes. It will also help strengthen cybersecurity through technologies like predictive threat analysis and prevention systems.

#### Transportation

Self-driving vehicles are one of the wildest technological realizations. AI will also help manage traffic and predict congestion to optimize travel time, monitor vehicle performance, and ensure timely repair and maintenance.

#### Advertising

AI will enable personalized ads tailored to individual users based on their specific interests, behaviors, locations, and profiles, improving targeting and effectiveness. It’s no wonder that over 80% of businesses are testing AI in their marketing channels.

### Communication

Withartificial intelligence, futurecommunication barriers will break and improve thanks to AI’s ability to understand human meanings beyond words and enhance accessibility for those with disabilities. Advanced AI systems that can hold human-level conversations across diverse topics and contexts will usher in new modes of seamless collaboration between diverse groups.

Communication may become more personalized through AI's proficiency in nuanced natural language generation, recognition of individual styles, and contextual awareness. Meanwhile, virtual worlds and AI-driven media will expand the possibilities for shared creative expression. AI is poised to revolutionize communication by making it more inclusive, effective, and personalized, enhancing both interpersonal interactions and global connectivity.

### Ethical and Societal Implications

AI offers many benefits but poses complex significant risks to ethics and society without responsible applications. AI systems take on more autonomous decision-making roles at the risk of algorithmic bias, lack of transparency, privacy and data security, and job displacement.

Delegating decision-making responsibilities to AI threatens to exacerbate discrimination, economic inequality, and erosion of accountability. Interdisciplinary and ethical guidelines that promote fairness, accountability, and non-discrimination will help to address these issues. As AI gains autonomy, it will be necessary to have frameworks that will hold organizations accountable for transparency.

Without adequate precautions and governance, the growing use of AI could undermine principles of justice, transparency, and the greater public interest by automating and amplifying existing societal biases and inequities.

### Economic Impact

Artificial intelligence in the futurewill be an engine of productivity and economic growth by increasing efficiency and improving decision-making through data analysis. It may spawn new products, services, markets, and industries, generating new revenue streams. A notable study concludes that AI’s economic impact on the world’s GDP may see a 14% increase by 2030.

Firstly, AI will significantly boost labor productivity due to technologies that optimize workforce-related tasks. AI will also generate a new "virtual workforce" capable of problem-solving and self-learning through intelligent automation. Lastly, the economy will gain from innovation diffusion as AI applications spread across sectors, opening up new revenue streams.

AI has the potential to significantly increase worldwide economic growth rates within the next 10 years through productivity gains, intelligent systems that supplement human work, and new opportunities created by technology.

### Global AI Policies and Regulations

According to Google’s CEO, AI’s importance calls for regulation, which is reasonable because, without coordination, AI could exacerbate economic and political gaps between countries. Regulations will foster technological interoperability and standardization for AI systems to operate effectively across trade, commerce, and research.

The regulations will likely target high-risk domains such as finance, healthcare, employment, and child safety rather than broad AI laws. While AI promises significant benefits through enhanced capabilities, its potential for misuse and unpredictability challenges global stability and security. For instance, advances in biological understanding through AI could simultaneously enable new weapons.

While pursuing AI's benefits, policymakers must account for AI's capacity to amplify risks through unassessed consequences. Managing these tensions will be an ongoing process requiring vigilance and cooperation across international stakeholders.

## Get a Masters in Artificial Intelligence at California Miramar

Artificial intelligence has progressed significantly, moving from research labs and the realm of science fiction to spearheading impactful innovations. As AI progresses, surpassing human capabilities in many areas, studying this field equips those interested with the skills needed to keep pace with its rapid development.

With the future of artificial intelligence beaming bright, invest in yours by getting a Master's in AI at California Miramar University. Our immersive program provides a comprehensive perspective on artificial intelligence by exploring machine learning, neural networks, natural language processing, and robotics.

Our curriculum is designed for the technology-centric world and balances theoretical foundations with practical application. We prepare you to intelligently deal with real-world tech problems and advancements in AI in the future. Kickstart your career today at CMU through in-person, online, or hybrid classes and travel the future with AI.

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