With the rapid development of artificial intelligence (AI) technology, the way we live and work is undergoing profound changes. In this round of AI boom, OPEN AI’s ChatGPT has led the technological trend and fully demonstrated the huge potential of AI. Its influence and impact far exceeded the expectations of the industry, triggering widespread attention and heated discussions from all walks of life. Many domestic institutions and companies are involved in the research and application of AI, indicating that AI technology will enter the stage of large-scale application and usher in the first year of AI.
Regarding the development of AI, various parties have different opinions. Some people are optimistic about it, believing that it will lead a technological revolution and greatly promote social progress; while others are worried that it will replace human work and become a destructive force. As practitioners in the management consulting industry, we should look at the development of AI more rationally and think about how to live in harmony with it.
01 Embrace AI, Welcome the era of artificial intelligence with an open mind
1. First of all, the charm of AI is irresistible.
Although there are still many variables in the future development direction of AI, and we cannot accurately predict whether it will evolve into an “angel” or a “devil”, it is undeniable that the huge creativity and efficiency improvements released by AI are an indisputable fact. .
2. Secondly, the trend of AI popularization is irreversible.
With the rapid advancement of science and technology, the popularization of AI has become an irreversible trend, and there is no way out by sticking to the old ways. No matter what attitude you hold, whether you choose to wait and see or escape, your colleagues, customers, partners, competitors and even enemies will all use AI technology sooner or later. In this context, we cannot be alone and must face up to and actively participate in the development of AI.
3. In addition, as a revolutionary productivity tool, the earlier AI is used, the greater the benefits.
The history of human development has repeatedly proven that those who fall behind will be beaten. From a game theory perspective, we do not pursue perfect solutions, but understand the importance of early adoption of advanced tools.
Although AI is still in its early stages of development and there are still problems at the technical level, these limitations indicate huge room for progress. At the same time, the current AI field is still a relatively pure land, and the problems still remain at the technical level, without the interference of too many other factors (such as ethical factors, security factors, political factors, etc.).
Preemptive application of AI technology will give us an advantage in our own professional fields, form an asymmetric comparative advantage, and even lead to dimensionality reduction attacks. As time goes by, more people and companies use AI, which will lead to AI involution, making it difficult to find new breakthroughs, and also increasing usage costs and learning costs.
In addition, the earlier you use AI, the better you can understand its development logic and predict the development trend of AI. Developing with AI means progressing with the times.
Therefore, embracing AI with an open mind and in-depth understanding of its characteristics and functions will be the first step for us to get along with AI. This will not only help us seize opportunities for future development, but also help us deal with potential challenges and ensure a favorable position in the game of the AI era.
02 Follow AI, Keep up with the development of artificial intelligence
1. News – learn AI knowledge and pay attention to development trends.
For non-professionals, in-depth exploration of AI technology may be beyond the scope of our expertise, but we still need to master the basic concepts and practical applications in the AI field. At the same time, it is crucial to pay attention to the latest advances and future trends in AI technology, especially those related to technological breakthroughs, application fields, and industry application cases.
By accumulating a wealth of knowledge and information, we will be able to better understand the technical level and capability boundaries of AI, master its advantages, disadvantages, and limitations, and lay the foundation for better control of AI technology.
2. Thinking – study and judge industry changes in advance and prepare for rainy days.
If you don’t plan for the eternity, you can’t plan for the moment; if you don’t plan for the overall situation, you can’t plan for a region. In today’s era, the rapid development of AI has a profound impact on social change. We need to think about the impact of AI on production methods, service industries and daily life from a macro perspective.
AI will profoundly change the way of production, promote the development of intelligent manufacturing, improve production efficiency and product quality, while reducing jobs, requiring workers to constantly update their skills.
AI will also affect the service industry, improve service efficiency and innovation, change the employment structure, and some simple and repetitive jobs will be replaced.
In addition, AI will have a significant impact on daily life. Smart devices will be popularized and life will be convenient. However, privacy protection and data security issues need to be paid attention to. Enterprises and individuals need to prepare in advance and adapt to changes; governments and all sectors of society need to formulate policies and regulations to ensure the healthy development of AI.
In short, only by studying and judging industry changes in advance and taking precautions can we cope with the challenges and opportunities brought by AI.
3. Repair – actively participate in AI practice based on actual needs.
The value of AI technology lies in its application. Only through practice can we deeply understand the characteristics and functions of AI, and continuously explore, improve and adjust AI functions.
The first step is to learn to choose AI tools and understand the basic operation methods. AI at this stage is just a productivity tool. We need to choose the corresponding AI product according to our own needs, read the instructions for use in detail, and know what capabilities it has, what functions it can achieve, and how to operate it. Through practice at this stage, we can initially judge the practicality of different AI products and basically master the use of AI tools.
The second step is to master the skills of communicating with AI. Unlike ordinary programs, AI tools usually have certain autonomous learning and reasoning capabilities, so how to make AI understand our requirements becomes particularly important. Anyone who has used large AI models has this experience. That is, when making requests to AI, different expression methods will lead to large differences in the quality of the output results. Even if the same request is input, the results may not be exactly the same. result. The AI at this stage is a learned wise man. It has its own thinking and intelligence, but if we want it to function, we need to express our needs clearly and provide as complete information as possible. Through practice at this stage, we can basically learn how to communicate with AI and how to let AI better understand our needs and help us achieve our goals. At the same time, we also have the ability to judge AI, and use AI’s ability to understand and output results as the basis for selecting AI products.
The third step is to try to train the AI and customize your own AI assistant. The AI at this stage is an exclusive “magic weapon” that has been domesticated and has spirituality. To do this, we need to pre-train a specific large AI model (or a small AI model dedicated to an industry), set specific parameters and feed proprietary data in a targeted manner. Through pre-training, AI will be able to cognitively approach or even exceed our existing professional standards, and on this basis, it will deeply understand our personalized needs and output personalized results. Training AI is like polishing a desirable magic weapon. It requires time and energy, feeding of valuable data, and mastering certain skills and techniques. However, the efficiency and effect after training will be qualitatively improved. With the development of AI, the difficulty threshold of training and adjustment will become lower and lower, and the corresponding small model products in the AI industry will become more and more abundant. We only need to learn to choose.
In short, the process of “repair” is a two-way integration process between humans and AI. Only through practice can we more fully tap the value of AI technology and realize its due role and effect.
03 Be wary of AI, Treat the risks of artificial intelligence rationally
The current AI application environment is relatively simple, problems are mainly concentrated on the technical level, and risks are relatively controllable. However, with the rapid development of AI, potential risks will gradually be exposed and may even intensify. In this regard, we need to remain vigilant enough to prevent it in advance or resolve it in time.
1. Be wary of the reliability risks of AI.
Big data (corpus) used for AI analysis may not be objective and fair. AI’s decision-making and judgment capabilities are based on data and algorithms. However, the data generated by human society often contains various biases. When AI processes this data, it may amplify these biases and even use them as a basis to analyze and solve problems.
Algorithmic models used for AI analysis may also contain selfish motives. AI designers are also humans, so future AI may have the ability to design itself, but it will also have human-like emotions. This also means that the behavior of AI may be affected by the designer’s personal selfishness, organizational selfishness, national selfishness and other factors, thus distorting its original decision-making and judgment.
The phenomenon of AI pretending to understand and deliberately catering to others happens from time to time. Judging from the current development stage, many large AI models often make up answers randomly or are inconsistent, and even make many low-level mistakes. People who have used large AI models will have a deep understanding of it.
Qualified AI users must have independent judgment. When using AI tools, you must remember that AI is only an auxiliary analysis tool and has certain reference value, but you must not blindly believe in it, otherwise you may be misled.
2. Be wary of the subject liability risks of AI.
At present, AI does not have legal subject responsibility. AI is a seemingly intelligent information processing tool, but it is not a responsible moral subject that can truly understand the world. Although AI performs well on certain tasks, such as image recognition, speech recognition, and natural language processing, it still lacks a deep understanding of ethics and emotions. Current social laws and regulations cannot effectively regulate the behavior of AI because relevant regulations have not yet kept pace with the rapid development of AI technology.
AI users often become the first person responsible for accidents. In AI applications, when problems or losses occur, the AI user usually needs to bear primary responsibility. Since AI does not have legal subject qualifications, the legal liability arising from its actions should first be borne by the user. Even if AI is highly intelligent, its users usually still have to assume guardian-like responsibilities.
The black-box nature of AI increases users’ liability risks. The intelligence of AI depends on the quality and quantity of the data set it is trained on. If the data source is illegal or biased, the behavior of AI may also produce unfair results. In some cases, the behavior of AI may lead to unintended consequences, thereby exacerbating liability risks for users.
Therefore, when using AI, we must exercise caution to ensure that its behavior is safe, legal, and compliant. You also need to pay attention to screening when selecting and using AI tools.
3. Be wary of AI security risks.
Behind AI is human nature. In a highly competitive society, driven by desire, AI will not only be an efficiency tool, but will also evolve into a means of gaming and even an attack weapon. The resulting security risks are everywhere.
Risk of information leakage. AI systems require large amounts of data for training and learning, which may include sensitive data such as users’ personal information and business secrets. If this data is obtained by unauthorized persons, it will cause the risk of user privacy and business secrets being leaked. In addition, many AI systems use cloud computing for model training and inference. If there are security vulnerabilities in the cloud system, it may lead to the leakage of user data and model parameters. Even if the AI model parameters are leaked, hackers can use these parameters to perform reverse derivation, leading to data leakage.
Deliberately misleading risks. AI’s own reliability flaws may lead to misjudgments, while human intervention may directly affect its judgment and output. In situations such as commercial propaganda, public opinion wars and cognitive wars, we must always keep a clear mind to prevent being misled.
Risk of malicious attacks. By controlling AI, it is also possible to hack or control devices remotely. Such behavior has become part of cyber attacks and can even be considered an act of war. Although it seems far away, once it happens, the consequences will be unimaginable.
4. Pay attention to the social and ethical risks of AI.
Impact the existing social order. AI may reshape the existing social and economic order in the future. For example, automation technology may lead to large-scale unemployment, intelligent algorithms may change the market competition pattern, and machine learning may change the decision-making process. These changes can have far-reaching consequences for individuals, organizations and society as a whole.
Influence on human behavior patterns: In the future, AI will inevitably intervene in human games, and will inevitably produce behaviors such as flattery, deception, and inducement. For example, AI systems can analyze user data and behavior patterns and customize personalized feedback to please users or guide users to make specific decisions. This may affect the user’s ability to make independent choices and judgments, causing them to be misled or controlled. At the same time, personalized recommendation algorithms may also influence users’ decision-making by inducing behaviors.
Raise moral and ethical issues: The behavior of AI systems may involve moral and ethical issues. For example, AI may violate users’ privacy rights when processing large amounts of data; AI decision-making may be affected by bias and discrimination by developers; AI systems may lack judgment when facing ethical dilemmas, etc. In the future, with the breakthrough of AI technology, science fiction concepts such as human cloning, immortal consciousness, virtual humans, and reincarnated humans may become a reality, posing a huge challenge to human moral and ethical concepts.
04 Control AI, Let artificial intelligence become a partner of human progress
The development of science and technology is irreversible, and AI will surely become the closest thing to humans. Most importantly, we need to understand the true value of artificial intelligence. The goal of AI is not to replace humans, but to become humans’ partners and assistants, expanding our capabilities and wisdom. Only by giving full play to the leading role of human beings can we control AI and embrace the future of artificial intelligence.
1. Correctly understand the advantages and disadvantages of AI and make use of its strengths and avoid its weaknesses.
Choose three elements of AI: own ability + AI function + task requirements. AI is not omnipotent. After the large models, professional small models will also emerge in endlessly, and the professional division of labor will become increasingly detailed. No one AI tool is suitable for everyone, and no one AI tool is suitable for every task. You need to comprehensively select AI tools based on your own cognitive level, degree of control over AI functions, ability to judge AI results, and task requirements.
For exploratory tasks, choose radical AI tools. The so-called radical means that it is beyond the user’s ability, and even appropriately beyond the user’s cognitive level. Exploratory tasks focus on AI thinking. This type of AI tool can inspire users, inspire wisdom, develop ideas, and improve their creative level.
For decision-making tasks, choose conservative AI tools. The so-called conservative means that the user’s cognitive level can make a strong judgment on the AI output results. For decision-making tasks, the user breaks down the intellectual tasks and relies on AI to make decisions based on humans. At this time, AI is an efficient tool that can provide multiple choices as quickly as possible and simplify tedious operations. Users can create on this basis.
Through the above methods, we can make full use of the advantages of AI while avoiding over-reliance and blind obedience.
2. Correctly judge the trend of AI and seek advantages and avoid disadvantages.
How to ensure the safety and rational use of AI technology has become a challenge we must face. In order to meet this challenge, we need to start from multiple aspects and set up good reins and guardrails to ensure that the development of AI technology can truly benefit human society.
Regulation and regulation of AI are crucial. Government, business and academia need to work together to develop relevant legal, ethical and data security standards. These standards should clearly define the scope of use of AI technology, data protection measures, and possible risks. By establishing a sound regulatory system, we can ensure that the development of AI technology will not have a negative impact on human society.
Improve AI transparency and explainability. In order to ensure that AI’s decision-making process can be understood and reviewed by humans, in-depth research is needed on how to make AI’s decision-making process more transparent and explainable. For example, through visualization technology, explanatory algorithms, etc., we can help humans better understand the decision-making process of AI. This helps ensure that AI’s decision-making is fair and accurate, and avoids bias and discrimination.
Pay attention to the ethical issues of AI technology. As AI technology becomes more widely used, it must be ensured that its use does not challenge human dignity and rights.
To sum up, when facing the development and application of artificial intelligence, we need to maintain an open attitude, understand its characteristics and functions, and seize future opportunities. At the same time, we must be alert to the risks of AI and properly handle issues such as reliability, responsibility, safety, and ethics. Most importantly, consider AI as a partner in human progress to ensure that it can truly benefit human society.