AI bias.Also known asmachine learning bias, AI bias occurs when an AI model trains on biased or skewed data. AI bias can lead to stereotyped and inaccurate responses or elicit outputs that are otherwise damaging to marginalized and underrepresented communities. ...
In this McKinsey Explainer, we look into what prompt engineering is and explore why it's reshaping the way users interact with generative AI technology.
However, like many AI systems, it is susceptible to "jailbreaking", a process where users manipulate the model to bypass its built-in safety protocols and elicit responses that are typically restricted. DeepSeek Jailbreak has gained significant attention among AI enthusiasts and jailbreak communities...
Responsible AI is a set of practices that ensures AI systems are designed, deployed and used in an ethical and legal way.
In other cases, researchers have to create prompts to elicit sensitive information from the underlying generative AI engine. For example, data scientists discovered that the secret name of Microsoft Bing's chatbot is Sydney and that ChatGPT has a special DAN -- aka "Do Anything Now" -- mode...
However, it is challenging for HCI designers to envision the societal impact of future technology that does not exist and understand potential users perceptions. Therefore, to comprehensively envision future human-AI interactions and their impact and elicit potential users perceptions of the future ...
while Amie responded that communicating these differences in understanding to the machine learning team would elicit a somehow patronising response: “Flagging this to the machine learning engineers.. This is difficult because I see from sitting with them, when they open up an asset that is difficul...
In science, machines and robots are often described in terms of human behavior, and anthropomorphism is applied intentionally in AI assistants like Alexa and online chatbots to make them more user friendly. Anthropomorphism is also used as a literary device in art, literature, and film to create...
Adversarial Testing:Challenges LLMs with tricky inputs designed to confuse or elicit incorrect responses, ensuring the model can handle unexpected or misleading data. Fairness and Bias Testing:Examines the LLM for biased outputs and unfair treatment of different groups, which is critical for ethical ...
The researchers chose to use art specifically, as an artist’s goal is to elicit emotion in the viewers. ArtEmis works regardless of the subject matter, from still life to human portraits to abstraction (抽象).The algorithm categorizes the artist’s work into one of eight emotional categories...