Unveiling the Dangers of Large Language Models

🔑 Large language models can help people who struggle with writing English prose, but they may give a false impression of understanding.

💡 Using large language models can spread misinformation and have a negative impact on brands, businesses, individuals, and society.

🛡️ The risks of using large language models include hallucinations, bias, consent, and security concerns.

📚 Large language models predict the next best word, not accurate answers based on understanding.

❌ These models can give incorrect answers due to statistical errors and lack of understanding.

⚠️ Inaccuracies in large language models can be dangerous and potentially harmful.

🔑 Large language models lack proof and can provide factually wrong answers, posing a risk in call center scenarios.

⚠️ Explainability is a key mitigation strategy for large language models, allowing users to understand the source of the model's answers.

🚫 Bias is another risk associated with large language models, potentially leading to biased outputs and a lack of representativeness.

🔑 Culture and audits are important mitigation strategies for risks associated with large language models.

👥 Diverse and multidisciplinary teams are necessary to address biases in AI and improve organizational culture.

🔒 Consent, representative data, and copyright issues should be considered when curating data for language models.

🔎 The origin of training data for large language models is often unclear and raises consent-related risks.

📚 Accountability in AI governance processes is crucial for compliance with laws and regulations and incorporating feedback from users.

🔒 Security risks associated with large language models include leaking private information, enabling malicious activities, and the potential for unauthorized alteration of AI behavior.

🌍 Training large language models has a significant environmental cost.

⚠️ Malicious tampering of large language models' training data can influence their behavior.

🧠 Education about data and AI is crucial for responsible and empowering use.

⚠️ There is a need for diversity and inclusion in the development of large language models.

🌍 The topic of large language models is highly significant.