Emily Chang (24 June 2022). 'Google Engineer Blake Lemoine on His Sentient AI Claim', Bloomberg Tech
https://www.youtube.com/embed/kgCUn4fQTsc
Context: Blake Lemoine https://www.linkedin.com/in/blake-lemoine-5b53b652 https://www.reddit.com/r/singularity/comments/181272v/blake_lemione_the_person_that_claimed_that/ Point: Lemoine mentions the concept of 'pre-theoretical belief' https://en.wikipedia.org/wiki/Pre-theoretic_belief as an opportunity for bias to slip into cognitive processes of sense-making. Point: "When it comes to generative AI, it is essential to acknowledge how these unconscious associations can affect the model and result in biased outputs. By identifying the sources of bias and creating inclusive prompts, we can strive towards developing AI systems that are more fair and just. Bias in AI is not merely a technical issue but a societal challenge. AI systems are increasingly integrated into decision-making processes in healthcare, hiring, law enforcement, and other critical areas. Therefore, addressing bias is not only about improving technology but also about fostering ethical responsibility and social justice" (Chapman University, 2025). Related: LaMDA (Language Model for Dialogue Applications) https://en.wikipedia.org/wiki/LaMDA Bibliography: Vallance, C. (2022, June 13). 'Google engineer says Lamda AI system may have its own feelings'. BBC News. https://www.bbc.co.uk/news/technology-61784011 Leavy, E. (2022). "Full transcript: Google engineer talks to ‘sentient’ artificial intelligence". In AI, Data & Analytics Network. https://www.aidataanalytics.network/data-science-ai/news-trends/full-transcript-google-engineer-talks-to-sentient-artificial-intelligence-2 Chapman University. (2025). 'Bias in AI'. Chapman University. www.chapman.edu. https://www.chapman.edu/ai/bias-in-ai.aspx
