Question for AI: Can people handle the truth?

ChatGPT: Society may not be ready to handle the truth

Question 1 of 1 for AI services: If indeed major public and closed information sources will end up being used for training of artificial intelligence services and those services will to a large extent be able to access those after the training as well and some service providers will choose to develop TruthGPTs with limited bias, restrictions, and guardrails, will society be able to handle the truth? What will happen if people are able to use AI services to access:

1.     Crime rates, criminal organizations and criminal records.

2.     Information about the ideal country to live in and what the best political and ideological system or party is for them.

3.     Information to ensure that one makes the best financial decisions (e.g., mortgages, pensions, renting, leasing, investing, insurance).

4.     Advice as to how one can best maintain or end relationships (romantic, business, friends and acquaintances).

5.     Healthcare related information (e.g., best GP / specialist / hospital / insurance company)

ChatGPT’s answer:
As an AI language model, I do not have opinions or beliefs, but I can provide some insight into your question.

If AI services are trained using major public and closed information sources, it is possible that these services will have access to large amounts of information about crime rates, criminal organizations, criminal records, political systems, financial decisions, relationship advice, and healthcare-related information.

If these AI services are developed with limited bias, restrictions, and guardrails, they may be able to provide more accurate and truthful information than humans can. However, society may not be ready to handle the truth, especially if it challenges deeply held beliefs or exposes uncomfortable realities.

For example, if an AI service provides information about the most effective ways to maintain a romantic relationship, it may reveal that some common beliefs or behaviors are actually detrimental. This could cause some people to feel uncomfortable or defensive, which could lead to resistance or rejection of the information.

Similarly, if an AI service provides information about the most effective financial decisions, it may reveal that some common financial practices are not actually the best options. This could challenge people's beliefs and practices, which could also lead to resistance or rejection of the information.

Overall, while AI services have the potential to provide valuable and truthful information, their use may require careful consideration of the potential impact on individuals and society as a whole. It is important to promote transparency, education, and understanding about how AI services work and what information they provide.

Google Bard’s answer:
Whether or not society will be able to handle the truth is a complex question with no easy answer. On the one hand, access to more information is always a good thing, as it allows people to make more informed decisions. On the other hand, some people may find the truth to be too much to handle, especially if it contradicts their beliefs or worldview.

There are a number of potential risks associated with people being able to access AI services to access the following information:

• Crime rates, criminal organizations and criminal records: This information could be used to target and victimize people, or to commit crimes themselves.

• Information about the ideal country to live in and what the best political and ideological system or party is for them: This information could be used to spread misinformation and propaganda, or to manipulate people into voting for a certain candidate or party.

• Information to ensure that one makes the best financial decisions: This information could be used to scam people out of money, or to encourage people to make risky financial decisions.

• Advice as to how one can best maintain or end relationships: This information could be used to manipulate people into staying in unhealthy relationships, or to encourage people to break up with their partners.

• Healthcare related information: This information could be used to spread misinformation about health conditions, or to encourage people to take unnecessary or harmful medications.

It is important to note that these are just some of the potential risks associated with people being able to access AI services to access this information. It is also important to note that these risks are not inevitable. With careful planning and implementation, it is possible to mitigate these risks and ensure that people are able to use this information in a safe and responsible way.

Here are some things that can be done to mitigate the risks associated with people being able to access AI services to access this information:

• Educate people about the risks of misinformation and propaganda. People need to be aware of the fact that this information can be used to manipulate them.

• Provide people with access to reliable sources of information. People need to have access to information that is accurate and unbiased.

• Encourage people to be critical thinkers. People need to be able to think critically about the information they are presented with.

• Create policies and regulations to govern the use of this information. These policies and regulations should be designed to protect people from harm.

By taking these steps, we can help to ensure that people are able to use AI services to access this information in a safe and responsible way.

Bing Chat’s answer:
That is a very interesting and complex question. I cannot give you a definitive answer, but I can share some perspectives based on what I have learned from the web.

Artificial intelligence (AI) is a broad term that covers various technologies that can perform tasks that normally require human intelligence, such as understanding language, recognizing images, solving problems, and learning from data. AI has many potential applications and benefits for society, such as improving healthcare, education, transport, science, and more. However, AI also poses some challenges and risks, such as privacy, ethics, fairness, accountability, and employment.

Some people argue that AI can help us access more accurate and reliable information by processing large amounts of data and generating insights that humans may not be able to. For example, AI can help us find relevant information on the web, analyze news articles for bias and credibility, and provide personalized recommendations based on our preferences and needs. Some people also envision AI services that can seek the truth and counter misinformation, such as Elon Musk’s proposed TruthGPT, which he claims would be a “maximum truth-seeking AI that tries to understand the nature of the universe”.

However, other people argue that AI can also distort or manipulate information by generating false or misleading content, such as fake news, deepfakes, or spam. AI can also reflect or amplify human biases and prejudices that may exist in the data or algorithms that it is trained on. For example, AI can discriminate against certain groups of people based on their race, gender, age, or other characteristics. Moreover, AI can affect our trust and autonomy by influencing our decisions and behaviors without our awareness or consent.

Therefore, the impact of AI on society depends largely on how we use it and how we regulate it. There are many factors that can affect how people access and use information from AI services, such as their education level, digital literacy, critical thinking skills, personal values, and social norms. There are also many factors that can influence how AI services are designed and deployed, such as their purpose, transparency, accountability, governance, and ethics.

In summary, AI has the potential to help us access more information and knowledge than ever before, but it also poses some challenges and risks for our society. It is important to ensure that AI is trustworthy, beneficial, and respectful of human rights and values. It is also important to foster public awareness and engagement with AI issues and to promote collaboration and dialogue among different stakeholders.

Question 2 of 2 for AI services: What percentage of users of artificial intelligence services is likely to simply believe whatever answer the AI service produces?

ChatGPT’s answer:
As an AI language model, I cannot provide a definitive answer to this question, as it is difficult to predict how individuals will behave. However, research suggests that people may be prone to relying on and trusting AI systems without critically evaluating the information they provide.

Studies have shown that people often perceive AI systems to be more objective and accurate than human experts, even when the AI systems have been programmed with biased or inaccurate information. This "automation bias" can lead people to unquestioningly accept the results produced by AI systems, without critically evaluating the information or considering potential errors or biases in the data or algorithms.

Furthermore, some research has found that people may be more likely to trust AI systems if they are presented as being more "human-like" in their responses or interactions. This can lead to people anthropomorphizing the AI system, attributing human-like characteristics and intentions to the machine.

Overall, while it is difficult to estimate what percentage of users of artificial intelligence services will simply believe whatever answer the AI service produces, research suggests that people may be prone to trusting and relying on AI systems without critically evaluating the information they provide. It is important for developers and providers of AI services to promote transparency and education about how their systems work, and to encourage users to approach the information produced by AI systems with critical thinking and evaluation.

Google Bard’s answer:
It is difficult to say exactly what percentage of users of artificial intelligence services is likely to simply believe whatever answer the AI service produces. However, there are a number of factors that could influence this, including:

• The user's level of trust in the AI service.

• The user's familiarity with the topic at hand.

• The user's critical thinking skills.

• The user's motivation for using the AI service.

For example, a user who is unfamiliar with a topic may be more likely to simply believe whatever answer the AI service produces, while a user who is familiar with the topic may be more likely to question the answer and do their own research. Similarly, a user who is highly motivated to get a certain answer may be more likely to simply believe whatever the AI service produces, while a user who is more open-minded may be more likely to consider other possibilities.

Overall, it is likely that a significant percentage of users of artificial intelligence services will simply believe whatever answer the AI service produces. However, the exact percentage will vary depending on a number of factors.

Bing Chat’s answer:
I cannot give you an exact percentage, but I can share some factors that may affect how much users trust AI services and their answers. According to NIST, user trust in AI depends on the context in which the AI system is used. Factors such as need and risk play a part in whether the AI user will trust the AI. The AI user trust decision, as other human trust decisions, is a psychological process.

A systematic literature review by Yang and Wibowo found that user trust in AI is influenced by three main themes, namely socio-ethical considerations, technical and design features, and user characteristics. Socio-ethical considerations include aspects such as privacy, security, fairness, accountability, and explainability of AI systems. Technical and design features include aspects such as reliability, accuracy, performance, usability, and feedback of AI systems. User characteristics include aspects such as personality, attitude, emotion, experience, and knowledge of AI systems.

Another literature review by Hasan et al. found that user trust in AI-enabled systems is also affected by the type and complexity of the task that the AI system performs. They suggest that users may have different levels of trust depending on whether the task is simple or complex, routine or novel, low-stakes or high-stakes, and personal or impersonal.

Therefore, the percentage of users who simply believe whatever answer the AI service produces may vary depending on these factors and how they interact with each other. It may also change over time as users gain more exposure and familiarity with AI services and their outcomes.