AI 🤖 vs Us 🧒: The War Begun | Part 1
Tags: ai, machinelearning, codenewbie, datascience
Published: 2023-05-20 19:00:11

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AI vs Us: The War Begun

[image description: A chess board with a human hand and a robotic hand reaching for the pieces]

Have you ever wondered how artificial intelligence (AI) is affecting our lives? How it is changing the way we work, learn, communicate, and even play? How it is creating new opportunities and challenges for us as humans? If you are curious about these questions, then you are not alone. In this blog post, I will explore some of the current and future impacts of AI on human society, and what we can do to prepare for them. This is the first part of a two-part series, so stay tuned for the next one!

What is AI and how does it work?

AI is a broad term that refers to any system that can perform tasks that normally require human intelligence, such as reasoning, learning, decision making, perception, and natural language processing. AI systems can be classified into two types: narrow AI and general AI. Narrow AI is focused on specific domains or tasks, such as playing chess, recognizing faces, or driving cars. General AI is the ultimate goal of AI research, which is to create systems that can perform any intellectual task that humans can do, or even surpass them.

AI systems are powered by algorithms, which are sets of rules or instructions that tell the system how to process data and solve problems. Algorithms can be programmed by humans, or they can be learned by the system itself through a process called machine learning. Machine learning is a branch of AI that enables systems to learn from data and improve their performance without explicit programming. Machine learning algorithms can be divided into three categories: supervised learning, unsupervised learning, and reinforcement learning.

- Supervised learning is when the system learns from labeled data, which means that each input has a corresponding output or answer. For example, a system that learns to classify images of animals would be given a set of images with labels such as "cat", "dog", or "bird". The system would then try to find patterns or features that distinguish each category and use them to make predictions for new images.
- Unsupervised learning is when the system learns from unlabeled data, which means that there is no predefined output or answer. For example, a system that learns to cluster customers based on their preferences would be given a set of data about their purchases, demographics, or behavior. The system would then try to find similarities or differences among the customers and group them into clusters based on some criteria.
- Reinforcement learning is when the system learns from its own actions and feedback from the environment. For example, a system that learns to play a video game would be given a set of rules and goals, but no explicit instructions on how to achieve them. The system would then try different actions and observe the consequences, such as rewards or penalties. The system would then adjust its behavior based on the feedback and try to maximize its rewards.

AI vs Human: Who is winning?

AI has made remarkable progress in recent years, thanks to advances in computing power, data availability, and algorithm development. AI systems have achieved superhuman performance in some domains or tasks that were once considered impossible or difficult for machines, such as:

- Chess: In 1997, IBM's DeepBlue defeated world champion Garry Kasparov in a historic match. In 2017, Google's AlphaZero learned to play chess from scratch in four hours and beat the world's best chess engine Stockfish.
- Go: In 2016, Google's AlphaGo defeated world champion Lee Sedol in a landmark match. In 2017, Google's AlphaGo Zero learned to play Go from scratch in three days and beat AlphaGo 100-0.
- Jeopardy: In 2011, IBM's Watson defeated two human champions in the popular quiz show Jeopardy!, where contestants have to answer questions based on clues from various categories.
- Image recognition: In 2015, Microsoft's ResNet surpassed human accuracy in identifying objects in images from the ImageNet dataset, which contains over 14 million images from 1000 categories.
- Speech recognition: In 2016, Microsoft's speech recognition system achieved human parity in transcribing conversational speech from the Switchboard dataset, which contains over 2600 telephone conversations on various topics.
- Natural language processing: In 2018, Google's BERT achieved state-of-the-art results in several natural language processing tasks, such as question answering, sentiment analysis
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The rise of artificial intelligence (AI) has been one of the most remarkable developments of the 21st century. AI is changing how we work, communicate, learn, and entertain ourselves. It is also challenging our notions of what it means to be human, and what role we play in this increasingly automated world.

AI is not a new concept. It has been around since the 1950s, when computer scientists began to explore the possibility of creating machines that can perform tasks that require intelligence, such as reasoning, learning, and problem-solving. However, it is only in recent years that AI has made significant breakthroughs, thanks to advances in computing power, data availability, and algorithms.

Today, AI can outperform humans in many domains, such as playing chess👏, recognising faces😊, diagnosing diseases👩‍⚕️, and driving cars🚗. AI can also generate realistic images, texts, and sounds, mimicking human creativity and expression. AI can even learn from its own experiences and improve itself over time, without human intervention.

But while AI has many benefits for society and humanity😇, it also poses many risks and challenges😱. Some of these are technical, such as ensuring the safety⚠️, reliability✅, and accountability👮‍♂️ of AI systems. Some are ethical, such as ensuring the fairness⚖️, transparency🔎, and privacy🔒 of AI applications. And some are existential, such as ensuring the alignment🤝, cooperation👥, and coexistence😊 of AI and humans.

![image of a chess board with a human hand and a robotic hand](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/vvnvahlg1nz07hheemfa.jpeg)

In this blog post series, we will explore some of these issues and questions that arise from the AI vs human competition. We will look at how AI is affecting various sectors and professions, and how humans are adapting to or resisting the changes brought by AI. We will also look at how AI is impacting our values, beliefs, and emotions, and how we can foster a positive and constructive relationship with AI.

In this first part of the series, we will focus on the following topics:

- What is AI and how does it work?
- How is AI disrupting various industries and jobs?
- How is AI affecting our skills and education?
- How is AI changing our communication and social interactions?

## What is AI and how does it work?

AI is a broad term that encompasses many subfields and applications. According to the Oxford English Dictionary, AI is 

> The theory and development of computer systems able to perform tasks normally requiring human intelligence.

However, there is no consensus on what constitutes intelligence or how to measure it.

![AI classification](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/v9jt3jsv5cmhqrtc9k4x.jpeg)

One way to classify AI is by its _goals and capabilities_. For example:

- **Narrow AI**: This refers to AI systems that can perform specific tasks or functions that require intelligence, such as playing chess or recognising faces. These systems are usually designed for a particular domain or problem, and do not have general intelligence or common sense.
- **General AI**: This refers to AI systems that can perform any intellectual task that a human can do across different domains or problems. These systems would have general intelligence or common sense, and be able to learn from any data or experience.
- **Super AI**: This refers to AI systems that can surpass human intelligence in all domains or problems. These systems would have super-intelligence or super-human abilities, and be able to create new knowledge or technologies.

Another way to classify AI is by its _methods or approaches_. For example:

- **Symbolic AI**: This refers to AI systems that use symbols and rules to represent and manipulate knowledge. These systems rely on logic, reasoning, and search algorithms to solve problems.
- **Sub-symbolic AI**: This refers to AI systems that use numerical values and statistical methods to represent and manipulate knowledge. These systems rely on learning, optimisation,

## How is AI disrupting various industries and jobs?

![AI in industries and jobs](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/v4ehvfnvu2ge373he676.jpeg)

AI is already having a significant impact on many industries and jobs. For example, in the manufacturing sector, AI is being used to automate tasks such as welding, painting, and assembly. This is leading to job losses in these areas, but it is also creating new jobs in the development and maintenance of AI systems.

**In the retail sector**, AI is being used to automate tasks such as customer service, inventory management, and fraud detection. This is also leading to job losses in some areas, but it is also creating new jobs in the development and use of AI systems.

**In the healthcare sector**, AI is being used to diagnose diseases, develop new treatments, and provide personalised care to patients. This is having a major impact on the way healthcare is delivered, and it is also creating new jobs in the development and use of AI systems.

And we have many more....

## How is AI affecting our skills and education?

![AI in skills and education](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/zp5ye04y6qvogv0907au.png)

AI is also having a significant impact on our skills and education. For example, AI-powered tutors are now being used to teach students in a variety of subjects. This is allowing students to learn at their own pace and to get personalised feedback.

AI is also being used to create new educational opportunities. For example, AI-powered platforms are now being used to offer online courses and to provide lifelong learning opportunities.

## How is AI changing our communication and social interactions?

AI is also changing the way we communicate and interact with each other. For example, AI-powered chatbots are now being used to provide customer service and to offer social support.

AI is also being used to create new forms of communication and social interaction. For example, AI-powered virtual reality platforms are now being used to create immersive experiences that allow people to connect with each other in new ways.

## Conclusion

AI is a powerful technology that is having a major impact on our lives. It is important to understand the potential benefits and risks of AI, so that we can make informed decisions about how to use it.

Image Credits: DALL.E 2 via Bing Image Creator

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In the next part of this blog post series, we will explore some of the ethical and existential challenges that arise from the AI vs human competition. We will also look at how we can foster a positive and constructive relationship with AI.

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