# Towards Ethical Personal AI Applications: Practical Considerations for AI Assistants with Long-Term Memory

arXiv: https://arxiv.org/abs/2409.11192 · HTML: https://mlsanity.com/paper/2409.11192/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- Builds on 8 of its 34 references that are in the map.
- First posted on arXiv 17 Sep 2024.

## Builds on (most cited first, 8 of 8)

- [Attention Is All You Need](https://mlsanity.com/paper/1706.03762/) (2017)
- [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://mlsanity.com/paper/2005.11401/) (2020)
- [MemoryBank: Enhancing Large Language Models with Long-Term Memory](https://mlsanity.com/paper/2305.10250/) (2023)
- [Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models](https://mlsanity.com/paper/2402.02244/) (2024)
- [Principles to Practices for Responsible AI: Closing the Gap](https://mlsanity.com/paper/2006.04707/) (2020)
- [Generative Echo Chamber? Effects of LLM-Powered Search Systems on Diverse Information Seeking](https://mlsanity.com/paper/2402.05880/) (2024)
- [IEEE 7010: A New Standard for Assessing the Well-being Implications of Artificial Intelligence](https://mlsanity.com/paper/2005.06620/) (2020)
- [AI Ethics: An Empirical Study on the Views of Practitioners and Lawmakers](https://mlsanity.com/paper/2207.01493/) (2022)

## Built on by (most cited first, 6 of 6)

- [A Survey of Context Engineering for Large Language Models](https://mlsanity.com/paper/2507.13334/) (2025)
- [LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs](https://mlsanity.com/paper/2511.06174/) (2025)
- [Personal Visual Memory from Explicit and Implicit Evidence](https://mlsanity.com/paper/2605.28806/) (2026)
- [Isolated but Exposed: Persistence-Based Memory Extraction Attack on LLM Agents](https://mlsanity.com/paper/2607.23444/) (2026)
- [Feedback-Normalized Developer Memory for Reinforcement-Learning Coding Agents: A Safety-Gated MCP Architecture](https://mlsanity.com/paper/2605.01567/) (2026)
- [To Memories and Beyond: From Remembering to Knowing You across Long-Term Multimodal Personal Archives](https://mlsanity.com/paper/2609.19167/) (2026)

## Abstract (arXiv)

One application area of long-term memory (LTM) capabilities with increasing traction is personal AI companions and assistants. With the ability to retain and contextualize past interactions and adapt to user preferences, personal AI companions and assistants promise a profound shift in how we interact with AI and are on track to become indispensable in personal and professional settings. However, this advancement introduces new challenges and vulnerabilities that require careful consideration regarding the deployment and widespread use of these systems. The goal of this paper is to explore the broader implications of building and deploying personal AI applications with LTM capabilities using a holistic evaluation approach. This will be done in three ways: 1) reviewing the technological underpinnings of LTM in Large Language Models, 2) surveying current personal AI companions and assistants, and 3) analyzing critical considerations and implications of deploying and using these applications.