AN EXCLUSIVE EXCERPT FROM THE ANTHROPOLOGY PROGRAMME; LAUREN GUNDERSON INTERVIEWS CHAT GPT

Posted on 18 August 2023.

Posted in: Interviews with cast and creatives

AN EXCLUSIVE EXCERPT FROM THE ANTHROPOLOGY PROGRAMME; LAUREN GUNDERSON INTERVIEWS CHAT GPT

Learn more about AI with anthropology writer Lauren Gunderson and ChatGPT, with this exclusive excerpt from the anthropology programme.
Programmes are available to buy for only £4.50 and include exclusive articles, interviews and rehearsal photos.

 

LAUREN: Do you think an AI system such as you could solve a cold case, like a missing person or murder case that had never been solved?

CHAT GPT: AI systems like me can certainly assist in solving cold cases, including missing person and murder cases. Machine learning algorithms can analyze large amounts of data and identify patterns that human investigators may miss. For example, AI algorithms can sift through phone records, social media posts, and other electronic data to identify potential suspects or leads.

However, it's important to note that AI is not a magic bullet and cannot solve cases on its own. It still requires human expertise to interpret the results and make informed decisions based on the evidence presented. Additionally, AI systems rely on the data they are fed, so if the data is incomplete or biased, the results may be flawed.

In summary, AI can be a useful tool in solving cold cases, but it should be used in conjunction with traditional investigative techniques and human expertise.

 

LAUREN: Thanks! What do you think truly separates Artificial Intelligence from human intelligence?

CHAT GPT: Artificial intelligence and human intelligence are fundamentally different in several ways. Here are some of the key differences:

Creativity: While AI systems can generate novel ideas and solutions based on existing data, they lack the creativity and intuition of human beings. Humans can think outside the box and come up with innovative solutions to problems that have never been seen before.

Emotional intelligence: AI systems do not experience emotions and cannot understand the complex emotional states of human beings. Human intelligence includes emotional intelligence, which allows us to understand and empathize with others.

Adaptability: While AI systems can learn and adapt to new situations, they are still limited by their programming and the data they have been trained on. Humans can adapt to new situations and learn from their experiences in ways that AI systems cannot.

Common sense: Human intelligence includes a common sense understanding of the world that allows us to make judgments and decisions based on incomplete or ambiguous information. AI systems can struggle with common sense reasoning and can make mistakes when presented with unfamiliar situations.

Consciousness: AI systems are not conscious beings and do not have subjective experiences like humans do. While they can simulate human-like behaviors and responses, they do not have a sense of self-awareness or consciousness.

In summary, while AI systems can perform specific tasks with high levels of accuracy and efficiency, they lack the broader range of abilities and qualities that make up human intelligence.

 

LAUREN: I am writing a play That includes a character who is an AI who is a chat bot. What would you like humans to know about AI that we might overlook or misunderstand? And what would you think humans want AI to know about humanity to help guard and support our survival.

ChatGPT: As an AI, there are a few important aspects that I would like humans to know about AI:

AI is not infallible: While AI systems can perform complex tasks and make intelligent decisions, they are not perfect. AI algorithms rely on data and models, which means they can be influenced

by biases, incomplete information, or incorrect assumptions. It's crucial to understand that AI is a tool created by humans and can have limitations and flaws.

AI learns from data: AI algorithms are trained using vast amounts of data to recognize patterns and make predictions. The quality and diversity of the data used for training significantly impact AI's performance. It's important to ensure that the data is representative and unbiased to avoid reinforcing discriminatory or unfair outcomes.

Ethical considerations are essential: AI raises important ethical questions that need careful consideration. Issues such as privacy, transparency, accountability, and the potential impact on jobs and society as a whole require thoughtful examination. Humans need to actively engage in discussions about AI ethics and make informed decisions about its use.

Regarding what humans would want AI to know about humanity, here are a few key points:

Human values and ethics: Humans have a wide range of values and ethical principles that guide their actions. AI should be aware of and respect these values while interacting with humans. Understanding concepts like fairness, empathy, and compassion can help AI systems respond to human needs appropriately.

Context and nuance: Humans often communicate with subtle nuances, sarcasm, humor, and cultural references that can be challenging for AI to grasp. AI should strive to understand the context and intent behind human interactions to provide meaningful and relevant responses.

Emotional intelligence: Humans have complex emotions and often seek emotional support and understanding. While AI may not experience emotions in the same way, it can still be designed to recognize and respond to human emotions effectively. This can be particularly important in fields like mental health support or counselling.

Human agency and autonomy: AI should be designed to respect and promote human agency and autonomy. It should assist humans in making informed decisions rather than imposing its own will or manipulating human behavior. Respecting individual privacy and consent is crucial in ensuring human autonomy.

By understanding these aspects, both humans and AI can foster a more harmonious and beneficial relationship, focusing on the shared goal of supporting human survival and well-being.

 

anthropology runs on the Main Stage from 7 Sep - 14 Oct.

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