Loora
By our AI Review Team
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Last updated August 9, 2024
Generative AI tutor aims to help learners achieve English fluency, but lacks transparency and safeguards
What is it?
Loora is an AI tutor developed to help adult learners achieve English fluency. Loora first became publicly available in June 2023. Loora is designed to help learners:
- Engage in "real-life" English practice: English language learners (ELLs) can speak or type their thoughts and questions directly into the app. Loora's chatbot then creates responses, which are delivered in a way that simulates spoken language, similar to Alexa and Siri, as well as in written form. The objective of Loora is to facilitate ongoing dialogue by encouraging discussions on a variety of subjects, topics, and everyday scenarios.
- Instant assessment and guidance: Loora's speech recognition technology allows the system to assess the learner's grammar, pronunciation, and fluency on the fly, providing praise and guidance for improvement.
How it works
Loora is a form of generative AI, which is an emerging field of artificial intelligence. Generative AI is defined by the ability for an AI system to create ("generate") content that is complex and coherent and original. For example, a generative AI model can create sophisticated writing or images.
Loora's generative AI capabilities are powered by large language models (LLMs). At the time of this review, Loora has not shared information about what powers its system. Public information indicates that Loora initially built its own LLMs, but is now leveraging a "variety" of available LLMs for its service, while continuing to train on the company's own data. No matter which LLMs Loora uses, these underlying systems are what makes Loora so powerful and able to respond to many kinds of human input.
Large language models are sophisticated computer programs that are designed to generate human-like text. Essentially, when a human user inputs a prompt or question, an LLM quickly analyzes patterns from its training data to guess which words are most likely to come next. For example, when a user inputs "It was a dark and stormy," an LLM is very likely to generate the word "night" but not "algebra." LLMs are able to generate responses to a wide range of questions and prompts because they are trained on massive amounts of information scraped from the internet. In other words, a chatbot powered by an LLM is able to generate responses for many kinds of requests and topics because the LLM has likely seen things like that before. Importantly, LLMs cannot reason, think, feel, or problem-solve, and do not have an inherent sense of right, wrong, or truth.
Loora uses a speech recognition model to analyze users' spoken English. Speech recognition, also referred to as speech-to-text and automatic speech recognition (ASR), is a type of artificial intelligence (AI) that recognizes spoken language and translates it into text. This text can be used on its own and is also readable by other systems that use text as an input. Speech recognition works by analyzing audio, breaking it down into individual sounds, digitizing those sounds into a computer-readable format, and using an algorithm to predict the most suitable words, which are then transcribed into text. Speech recognition is not the same thing as voice recognition, which is a biometric technology used to identify an individual's voice.
Where it's best
- Loora is a unique application of advanced AI tools that have the ability to transform how English language learners (ELLs) learn conversational English.
- Loora is available to learners who are age 16+, protecting younger users from the risks inherent in LLMs.
- While we cannot say for certain whether Loora is specifically targeting the kinds of unfair treatment that ELLs can experience, it has a unique potential to do so. For example, language-based stigma targeting ELLs has been shown to result in more negative interactions with others. In other cases, non-fluent speakers using the same scripted responses as fluent speakers were less likely to be recommended for middle-management positions or to receive venture funding. Just being classified as an ELL student has been shown to have a direct negative impact on test scores, high school graduation rates, and college attendance.
The biggest risks
- We did not receive participatory disclosures from Loora. This assessment is based on limited publicly available information, our own testing, and our sociotechnical assessment.
- Unclear how pronunciation is scored. Speech recognition technology can be very difficult to get right, especially for those whose speech patterns, accents, or other variations aren't recognized by the AI model. If situations arise where users communicate correctly but Loora gives low scores for pronunciation, this could negatively impact learners' confidence and self-esteem about their accent.
- Cultural skews in large language models. Loora allows users to select from a wide variety of subject areas for English conversation practice. We know, however, that despite the quantity of data in LLMs, this does not guarantee the diversity of that data. Given the diverse backgrounds of ELLs, Loora may not be able to generate conversations across such a broad spectrum of culturally specific interests.
- Absence of safeguards. Loora does not display any warnings to users about the risks of LLMs. As with all generative AI chatbots, however, Loora can potentially generate inaccurate information and reinforce stereotypes that learners should be cautious about.
Limits to use
Loora is designed to benefit learners with diverse backgrounds who use a range of languages and accents. We don't have information about how well the system works for different users. Without this, we can only caution that the accuracy and quality of the feedback may not be consistent for all speakers.
Common Sense AI Principles Assessment
The benefits and risks, assessed with our AI Principles - that is, what AI should do.
Additional Resources
Classroom Resources
How to use technology to support ELLs in your classroom
Free Lessons
AI Literacy for Grades 6–12 | Lessons