# Meredith Ringel Morris argues in ACM Interactions for HCI in the AGI era [Canonical reading](https://escapemeridian.com/readings/meredith-ringel-morris-argues-in-acm-interactions-for-hci-in-8eb91c93) Meredith Ringel Morris’s feature article was published on February 27, 2025. She argues that HCI has a critical role as progress continues toward AGI: AI technology should be useful to and usable by people doing tasks they value. Morris says HCI insights can help maximize benefits for individuals, communities, and society, while helping researchers understand how to mitigate harms. She describes a research vision spanning interaction techniques, interface designs, physical form-factors, design methods, evaluation methods, benchmarking approaches, and data collection techniques. The abstract does not detail particular methods or examples; it presents these areas as opportunities for HCI scholarship and practice. Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims. ## Original source Google DeepMind · Article Original source date: Feb 27, 2025 (2025-02-27T00:00:00+00:00). Date basis: Date stated on the publisher’s page. Added to Escape Meridian: 2026-11-15T03:03:24.743Z. First observed: 2026-11-02T17:58:59.556Z. Retrieved: 2026-11-02T17:59:40.153Z. - [HCI for AGI](https://deepmind.google/research/publications/106025/) ## Limits Text as retrieved on November 2, 2026; originally published February 27, 2025. The available text is an abstract; it does not give examples, specific methods, or evidence for how the proposed HCI work would produce the described benefits or mitigate harms. ## Open question Which HCI approaches could help make AI useful and usable for tasks people value while mitigating harms? ## Source-stated Meredith Ringel Morris argues that HCI scholarship and practice have a critical role in making AI useful and usable for people to accomplish tasks they value as progress continues toward AGI. > As progress continues toward AGI (“Artificial General Intelligence”), HCI scholarship and practice has a critical role to play in ensuring that AI technology is useful to and usable by people to accomplish tasks they value. - [Supporting source](https://deepmind.google/research/publications/106025/) ## Source-stated Morris says HCI insights can help maximize benefits for individuals, communities, and society, and help understand how to mitigate harms. > HCI insights can help us to maximize the benefit of AI technologies to individuals, communities, and society, while helping us to understand how to mitigate harms. - [Supporting source](https://deepmind.google/research/publications/106025/) ## Source-stated Morris’s research vision identifies areas for HCI innovation including interaction techniques, interface designs, physical form-factors, design and evaluation methods, benchmarking approaches, and data collection techniques. > I describe a research vision for the field of HCI in the AGI era, overviewing how HCI researchers can innovate in interaction techniques, interface designs, physical form-factors, design methods, evaluation methods, benchmarking approaches, and data collection techniques. - [Supporting source](https://deepmind.google/research/publications/106025/) ## Source and contributor context Google DeepMind · Publisher The publisher is identified here. No individual author has been inferred. ## Source media Media retrieval status: unchecked. ## Terms and references Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement. ## Artificial general intelligence The idea of AI with broad problem-solving, creativity and adaptability across different tasks. - [Definition reference](https://developers.google.com/machine-learning/glossary#artificial-general-intelligence) ## Benchmark A defined set of tests used to compare systems. Results depend on the tasks and measures selected. - [Definition reference](https://arxiv.org/abs/2211.09110) ## Google DeepMind Google DeepMind develops AI systems for general tasks and scientific research, including AlphaFold. - [Explore this context](/entities/google-deepmind) - [Reference](https://deepmind.google/blog/) - [Reference](https://deepmind.google/science/alphafold/) ## Editorial provenance Version 1. Publication ID: 5ca4564c-be5a-3c50-64dc-dd2a8eded2f7. Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5. Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-15T02:59:14.289Z. This checks fidelity to the source, not whether its claims are independently true. Editorial selection: accept; reasons: bridge\_admitted\_by\_model, second\_opinion\_categorical. Observation: b831e67e86eba632c638b7a2df7926c176486b61246dd206a387fe20bab3474f. Source text hash: c12c1d3837eeab890598b8843d114ab675b1b2dd0100446e5e2f4828dc1bc489. ## Revision and source-check history ### Version 1 — 2026-11-15T03:03:24.743Z Meredith Ringel Morris’s feature article was published on February 27, 2025. She argues that HCI has a critical role as progress continues toward AGI: AI technology should be useful to and usable by people doing tasks they value. Morris says HCI insights can help maximize benefits for individuals, communities, and society, while helping researchers understand how to mitigate harms. She describes a research vision spanning interaction techniques, interface designs, physical form-factors, design methods, evaluation methods, benchmarking approaches, and data collection techniques. The abstract does not detail particular methods or examples; it presents these areas as opportunities for HCI scholarship and practice. ## Original source Google DeepMind · Article Original source date: Feb 27, 2025 (2025-02-27T00:00:00+00:00). Date basis: Date stated on the publisher’s page. Added to Escape Meridian: 2026-11-15T03:03:24.743Z. First observed: 2026-11-02T17:58:59.556Z. Retrieved: 2026-11-02T17:59:40.153Z. - [HCI for AGI](https://deepmind.google/research/publications/106025/) ## Limits Text as retrieved on November 2, 2026; originally published February 27, 2025. The available text is an abstract; it does not give examples, specific methods, or evidence for how the proposed HCI work would produce the described benefits or mitigate harms. ## Open question Which HCI approaches could help make AI useful and usable for tasks people value while mitigating harms? ## Source-stated Meredith Ringel Morris argues that HCI scholarship and practice have a critical role in making AI useful and usable for people to accomplish tasks they value as progress continues toward AGI. > As progress continues toward AGI (“Artificial General Intelligence”), HCI scholarship and practice has a critical role to play in ensuring that AI technology is useful to and usable by people to accomplish tasks they value. - [Supporting source](https://deepmind.google/research/publications/106025/) ## Source-stated Morris says HCI insights can help maximize benefits for individuals, communities, and society, and help understand how to mitigate harms. > HCI insights can help us to maximize the benefit of AI technologies to individuals, communities, and society, while helping us to understand how to mitigate harms. - [Supporting source](https://deepmind.google/research/publications/106025/) ## Source-stated Morris’s research vision identifies areas for HCI innovation including interaction techniques, interface designs, physical form-factors, design and evaluation methods, benchmarking approaches, and data collection techniques. > I describe a research vision for the field of HCI in the AGI era, overviewing how HCI researchers can innovate in interaction techniques, interface designs, physical form-factors, design methods, evaluation methods, benchmarking approaches, and data collection techniques. - [Supporting source](https://deepmind.google/research/publications/106025/) ## Source and contributor context Google DeepMind · Publisher The publisher is identified here. No individual author has been inferred. ## Source media Media retrieval status: unchecked. ## Terms and references Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement. ## Artificial general intelligence The idea of AI with broad problem-solving, creativity and adaptability across different tasks. - [Definition reference](https://developers.google.com/machine-learning/glossary#artificial-general-intelligence) ## Benchmark A defined set of tests used to compare systems. Results depend on the tasks and measures selected. - [Definition reference](https://arxiv.org/abs/2211.09110) ## Google DeepMind Google DeepMind develops AI systems for general tasks and scientific research, including AlphaFold. - [Explore this context](/entities/google-deepmind) - [Reference](https://deepmind.google/blog/) - [Reference](https://deepmind.google/science/alphafold/) ## Editorial provenance Version 1. Publication ID: 5ca4564c-be5a-3c50-64dc-dd2a8eded2f7. Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5. Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-15T02:59:14.289Z. This checks fidelity to the source, not whether its claims are independently true. Editorial selection: accept; reasons: bridge\_admitted\_by\_model, second\_opinion\_categorical. Observation: b831e67e86eba632c638b7a2df7926c176486b61246dd206a387fe20bab3474f. Source text hash: c12c1d3837eeab890598b8843d114ab675b1b2dd0100446e5e2f4828dc1bc489. ### uncertain — 2026-11-15T02:59:14.289Z — anthropic/claude-opus-5.5 Publication: 5ca4564c-be5a-3c50-64dc-dd2a8eded2f7 attribution — pass: The reading attributes the argument to Meredith Ringel Morris's feature article in ACM Interactions, matching the authors and venue on the Google DeepMind publication page. Her claims are kept as her assertions rather than presented as established fact. > Meredith Ringel Morris summary — uncertain: The summary faithfully conveys Morris's argument and scope, and the definitions explain AGI and benchmarking. However, the central term HCI (human-computer interaction) is never expanded or explained in the title, summary or question, and it is not in the definitions list. A reader without specialist background may not know what field is being argued for. Smallest repair: explain HCI on first use, or add a term-library entry for it. > HCI scholarship and practice has a critical role to play date — pass: The stated date of February 27, 2025 matches evidence.originalPublished and the source dateline at day precision. The page was modified on 2025-12-10, but the cited abstract is plainly the publication's original abstract. Nothing in the reading uses hindsight framing or later events. The kind is publisher-page, so no archive disclosure is needed. > February 27, 2025 support — pass: All three claims closely paraphrase the abstract and carry exact excerpts. The summary does not overstate demonstrated benefits, and it correctly notes that the abstract gives no specific methods or examples. The question follows from the source's stated aims without asserting an unsupported outcome. > HCI insights can help us to maximize the benefit of AI technologies to individuals, communities, and society, while helping us to understand how to mitigate harms. media — pass: No media is selected, and no verified media candidates were supplied, so nothing is misidentified or irrelevant. ## Recorded references Explicit citations in public readings and public file attachments to this reading. Shared topics are not citations. Other artifact types need an explicit reference adapter. No public references recorded here yet. [Reference data (JSON)](/readings/8eb91c93539de095d07448ce6e947f46acf584bb1c255a95fc054572d46b60d5/references.json) ## Corrections and challenges [Send a correction or an opposing source](https://escapemeridian.com/corrections/) [JSON record](https://escapemeridian.com/readings/meredith-ringel-morris-argues-in-acm-interactions-for-hci-in-8eb91c93.json)