Academic Researcher & University Mapping

Indigenous-AI Collaborative Platform (IAIP) — Survey Document

Date: April 6, 2026
Purpose: Map the academic landscape for potential collaborators and mentors at the intersection of Automated Prompt Engineering, Computational Linguistics, Philosophy of AI, and Indigenous approaches to technology.

1. Key Researchers by Domain

1.1 APE / Prompt Engineering

Omar Khattab

• Affiliation: Assistant Professor, MIT EECS / CSAIL (joined 2025, formerly Stanford PhD)
• Position: Faculty, leading DSPy research group
• Key Work:
  • DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines (2023)
  • Demonstrate-Search-Predict: Composing Retrieval and Language Models (2023)
  • ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction (2020)
• Relevance to IAIP: DSPy's declarative, modular approach to prompt programming aligns with IAIP's need for systematic prompt optimization. DSPy treats prompts as programmable objects rather than brittle strings — resonates with the project's interest in prompts-as-linguistic-artefacts.
• Collaboration Angle: DSPy's modular architecture could be adapted for culturally-aware prompt systems; potential for Indigenous language-specific optimizers.
• Contact: https://omarkhattab.com/ · https://www.eecs.mit.edu/people/omar-khattab/
• Scholar: https://scholar.google.com/citations?user=Lwr5ozgAAAAJ

Yongchao Zhou

• Affiliation: PhD Student, University of Toronto, Dept. of Computer Science (supervised by Prof. Jimmy Ba)
• Key Work:
  • Large Language Models Are Human-Level Prompt Engineers (2023) — the foundational APE paper
  • Collaborators include researchers at the Vector Institute
• Relevance to IAIP: The original APE paper is a cornerstone of automated prompt engineering. Zhou's work at U of T / Vector Institute makes him a Canadian-based collaborator — geographically and institutionally proximate.
• Collaboration Angle: Direct engagement on APE methodology; potential co-supervision or advisory role given shared Canadian location. The Vector Institute connection opens doors to Canadian AI ecosystem funding.
• Contact: https://scholar.google.com/citations?user=35M6rhsAAAAJ · https://openreview.net/profile?id=~Yongchao_Zhou1

Shunyu Yao

• Affiliation: Chief AI Scientist, Tencent (since late 2025; formerly OpenAI, PhD Princeton)
• Key Work:
  • Tree of Thoughts: Deliberate Problem Solving with Large Language Models (2023)
  • ReAct: Synergizing Reasoning and Acting in Language Models (2023)
  • Operator, Deep Research, Computer-Using Agent (OpenAI era)
• Relevance to IAIP: Tree of Thoughts and ReAct are foundational prompting paradigms. ToT's exploration of multiple reasoning paths has philosophical implications for how we structure human-AI deliberation.
• Collaboration Angle: Lower priority given Tencent industry position and geographic distance; however, his academic publications remain essential references.
• Contact: Princeton PhD page (historical); Tencent corporate

Ofir Press

• Affiliation: Postdoctoral Researcher, Princeton University, Language and Intelligence (PLI) group (with Prof. Karthik Narasimhan)
• Key Work:
  • Self-Ask: Measuring and Narrowing the Compositionality Gap in Language Models (2023)
  • Benchmarking AI coding abilities (used by OpenAI, Meta, Google, Anthropic)
• Relevance to IAIP: Self-Ask's compositionality-focused approach connects to linguistic theory about how complex instructions decompose — directly relevant to understanding prompt structure.
• Collaboration Angle: Academic postdoc — more accessible for collaboration; compositionality research bridges APE and linguistics.
• Contact: https://ofir.io/ · https://ai.princeton.edu/news/2025/meet-postdoc-qa-ofir-press

Jason Wei

• Affiliation: Meta Superintelligence Labs (since 2025; formerly OpenAI 2023–2025, Google Brain before that)
• Key Work:
  • Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (2022) — seminal CoT paper
  • Finetuned Language Models Are Zero-Shot Learners (2022) — instruction tuning
  • Scaling laws research
• Relevance to IAIP: Chain-of-thought prompting is foundational to understanding how linguistic structure in prompts affects reasoning. Essential citation but industry position limits direct collaboration.
• Contact: https://www.jasonwei.net/ · https://scholar.google.com/citations?user=wA5TK_0AAAAJ

Wendi Cui & Jiaxin Zhang

• Affiliation: ACL 2025 survey collaborators
• Key Work:
  • A Survey of Automatic Prompt Optimization with Instruction-focused Heuristic Search (2025, ACL Findings)
  • Systematic taxonomy of prompt optimization algorithms
• Relevance to IAIP: Their survey provides the most comprehensive mapping of the APE algorithmic landscape as of 2025 — essential reference for the literature review.
• Contact: https://arxiv.org/abs/2502.18746

1.2 Computational Linguistics of AI Interaction

Emily M. Bender

• Affiliation: Professor, Dept. of Linguistics, University of Washington; Faculty Director, Professional Master's in Computational Linguistics (CLMS); Director, Computational Linguistics Laboratory; Adjunct in CS&E and iSchool
• Key Work:
  • On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? (2021, with Gebru et al.)
  • The AI Con: How to Fight Big Tech's Hype and Create the Future We Want (2025, book)
  • Extensive work on grammar engineering, typological linguistics, and LLM ethics
• Relevance to IAIP: Bender bridges computational linguistics and AI ethics in a way that directly speaks to IAIP's concerns. Her "Stochastic Parrots" critique of LLMs' lack of genuine understanding is foundational for any project claiming relational accountability. Her work on language technology for endangered languages resonates with Indigenous language goals.
• Collaboration Angle: Strong alignment on ethics + linguistics intersection; her endangered language work creates natural bridges to Indigenous AI concerns.
• Contact: https://linguistics.washington.edu/people/emily-m-bender · https://faculty.washington.edu/ebender/

Liu Xingbing (and emerging Human-Computer Pragmatics field)

• Key Work:
  • Toward a New Pragmatics for Human-Computer Interaction (2025)
  • Founding theorization of "human-computer pragmatics" as a distinct field
• Relevance to IAIP: Directly theorizes the pragmatics of human-AI dialogue — a key missing piece between prompt engineering (technical) and philosophy (conceptual). The idea that HCI needs its own pragmatic framework resonates with IAIP's relational approach.
• Contact: http://english.cssn.cn/skw_opinion/202505/t20250514_5873901.shtml

ACL 2025 Workshop: Bridging HCI and NLP (4th edition)

• Key Focus: Dedicated workshop at ACL on human-AI dialogue design from both HCI and NLP perspectives
• Relevance: Premier venue for IAIP-relevant interdisciplinary work; potential paper submission target
• Reference: https://aclanthology.org/events/emnlp-2025/

Notable Research Trends (2024–2025)

• Pragmatics in the Era of LLMs (ACL 2025 survey paper) — comprehensive mapping of pragmatic challenges in LLM interaction
• Structured prompts for debiasing (EMNLP 2024) — using linguistic structure to promote fairness
• Instruction evolution (Tree-of-Evolution, InsBank) — treating instructions as evolving linguistic objects
• EmoAgent (EMNLP 2025) — human-AI interaction safety for mental health contexts

1.3 Philosophy of AI

Luciano Floridi

• Affiliation: John K. Castle Professor in the Practice of Cognitive Science & Founding Director, Digital Ethics Center, Yale University; Professor, University of Bologna (Centre for Digital Ethics); Editor-in-Chief, Philosophy & Technology
• Key Work:
  • The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities (OUP, 2023)
  • The Fourth Revolution: How the Infosphere Is Reshaping Human Reality (2014)
  • Foundational work on philosophy of information
• Relevance to IAIP: Floridi's "philosophy of information" provides a rigorous framework for thinking about AI ethics at a conceptual level. His notion of "informational organisms" (inforgs) and the "infosphere" offers metaphysical grounding for the IAIP's relational ontology.
• Collaboration Angle: Advisory/theoretical; his policy influence and advisory roles make him a high-level ally.
• Contact: https://dec.yale.edu/people/luciano-floridi · https://www.philosophyofinformation.net/about/

Shannon Vallor

• Affiliation: Baillie Gifford Chair in the Ethics of Data and AI, Edinburgh Futures Institute, University of Edinburgh; Director, Centre for Technomoral Futures; co-Director, BRAID programme (Bridging Responsible AI Divides)
• Key Work:
  • Technology and the Virtues: A Philosophical Guide to a Future Worth Wanting (2016)
  • The AI Mirror: How to Reclaim Our Humanity in an Age of Machine Thinking (2024)
  • Karel Čapek Lecture in Technology Ethics (2025)
• Relevance to IAIP: Vallor's virtue ethics framework for technology is deeply compatible with Indigenous relational ethics and Two-Eyed Seeing. Her concept of "technomoral virtues" maps onto IAIP's ceremonial technology ethics. The AI Mirror explicitly addresses reclaiming humanity in AI interaction.
• Collaboration Angle: HIGH PRIORITY — her BRAID programme bridges humanities and AI, creating institutional infrastructure for exactly the kind of work IAIP does. Edinburgh's global reach and her policy connections amplify this.
• Contact: https://edwebprofiles.ed.ac.uk/profile/shannon-vallor · https://www.technomoralfutures.uk/

Mark Coeckelbergh

• Affiliation: Professor of Philosophy of Media and Technology, University of Vienna; ERA Chair, Institute of Philosophy, Czech Academy of Sciences; Guest Professor, WASP-HS / University of Uppsala
• Key Work:
  • AI Ethics (MIT Press)
  • Communicative AI (Polity, 2025)
  • Introduction to the Ethics of Emerging Technologies (Palgrave Macmillan, 2025)
  • EU High-Level Expert Group on AI (member)
• Relevance to IAIP: Communicative AI (2025) directly addresses philosophy of human-AI communication — the exact intersection IAIP needs. His work on relational approaches to technology ethics resonates with Indigenous relational accountability.
• Collaboration Angle: HIGH PRIORITY — his 2025 Communicative AI book is the philosophical counterpart to IAIP's practical work. His EU policy connections add institutional weight.
• Contact: https://philtech.univie.ac.at/team/mark-coeckelbergh/ · https://aisocietycritique.org/team/mark-coeckelbergh/

Timnit Gebru

• Affiliation: Founder & Executive Director, Distributed AI Research Institute (DAIR)
• Key Work:
  • On the Dangers of Stochastic Parrots (2021, with Bender et al.)
  • Advocacy for "frugal AI" — small, task-specific models vs. giant general-purpose ones
  • Black in AI co-founder
  • Miles Conrad Award (2025) for lifetime achievement in information community
• Relevance to IAIP: DAIR's community-rooted, independent AI research model is a natural institutional parallel to IAIP. Her advocacy for small, culturally-specific models aligns with Indigenous language needs. Her critique of "one giant model" supports IAIP's approach.
• Collaboration Angle: DAIR's independent, community-driven model is closest to IAIP's values. Potential for mutual support, shared advocacy, and methodological exchange.
• Contact: https://www.dair-institute.org/ · DAIR is navigating funding challenges (as of 2026), so mutual support could be meaningful.

1.4 Indigenous AI / Relational AI

Michael Running Wolf

• Affiliation: PhD candidate, McGill University; Co-founder, FLAIR (First Languages AI Reality) at Mila–Quebec AI Institute; AI Researcher, SynthBee; Founder, Indigenous in AI
• Nation: Northern Cheyenne
• Key Work:
  • FLAIR program — AI tools for Indigenous language revitalization (automatic speech recognition for polysynthetic languages)
  • Lakota AI Code Camp — culturally relevant AI education for Indigenous youth
  • TEDx talks on Indigenous AI
  • MIT Solve Fellowship; Patrick McGovern AI for Humanity Prize
• Relevance to IAIP: HIGHEST PRIORITY COLLABORATOR. Running Wolf is the most directly aligned researcher: Indigenous-led, Canadian-based (McGill/Mila), working at AI + Indigenous language intersection, with deep commitment to data sovereignty and community ownership.
• Collaboration Angle: Direct collaboration on IAIP's technological infrastructure; shared Mila connection; potential mentorship and co-development of Indigenous-specific prompt optimization tools.
• Contact: https://indigenousai.io/ · McGill University profile

Caroline Running Wolf

• Affiliation: PhD candidate, Anthropology, University of British Columbia; Co-founder, Buffalo Tongue (nonprofit)
• Key Work:
  • Buffalo Tongue — AI and immersive tech (VR/AR/XR) for Indigenous language revitalization
  • Community-led language technology with tribal data sovereignty
  • Co-author, IP//AI position paper
  • Research on Indigenous data sovereignty and AI ethics
• Relevance to IAIP: Deeply aligned on Indigenous-led technology development, data sovereignty, and language revitalization. Her anthropological approach complements the technical side.
• Collaboration Angle: VR/AR applications for ceremonial technology; shared Canadian location (UBC); anthropological framework for understanding prompts as cultural artefacts.
• Contact: https://indigenousai.io/ · UBC Anthropology

Jason Edward Lewis

• Affiliation: University Research Chair in Computational Media and the Indigenous Future Imaginary; Professor of Computation Arts, Concordia University, Montreal
• Key Work:
  • Co-director, Indigenous Futures Research Centre
  • Co-director, Abundant Intelligences research program (~$23M funding)
  • Co-founder, Initiative for Indigenous Futures (IIF)
  • Lead editor, Indigenous Protocol and Artificial Intelligence Position Paper (2020)
  • Aboriginal Territories in Cyberspace network; Skins Workshops
  • 2025 SSHRC Partnership Award
• Relevance to IAIP: HIGHEST PRIORITY. Lewis is the foremost researcher at the intersection of Indigenous knowledge and AI in Canada. The Abundant Intelligences program is the single largest Indigenous AI research initiative globally. His IP//AI position paper is foundational to IAIP's theoretical framework.
• Collaboration Angle: Concordia/Montreal proximity; Abundant Intelligences as potential institutional home or partner; SSHRC funding alignment; shared commitment to Indigenous self-determination in technology.
• Contact: https://www.concordia.ca/faculty/jason-edward-lewis.html · https://jasonlewis.org/ · https://www.ifrc.ca/ · https://abundant-intelligences.net/

Angie Abdilla

• Affiliation: Founder, Old Ways, New; ANU School of Cybernetics (affiliate); palawa woman
• Key Work:
  • "Country Centred Design" methodology
  • Co-founder, Indigenous Protocols and AI Working Group (IP//AI)
  • Envisioning Aboriginal and Torres Strait Islander AI Futures Communique (2025)
  • UN and World Economic Forum advisory roles on AI ethics
• Relevance to IAIP: "Country Centred Design" — the idea that Country (land/environment) is an active co-creator in technological systems — resonates deeply with relational accountability and ceremonial technology. Her global advocacy amplifies Indigenous perspectives.
• Collaboration Angle: International partnership; methodology exchange (Country Centred Design ↔ Two-Eyed Seeing); shared IP//AI network.
• Contact: https://www.oldwaysnew.com/ · https://scholar.google.com/citations?user=jy_9vBcAAAAJ

Additional Indigenous AI Researchers (IP//AI Network)

• Suzanne Kite — Oglala Lakota artist/researcher, AI and Indigenous ontology
• Noelani Arista — Hawaiian historian, Indigenous data sovereignty
• Dr. Hēmi Whaanga — Māori digital heritage, University of Waikato
• Ashley Cordes — Indigenous communication and media technology
• Scott Benesiinaabandan — Anishinaabe artist, digital media and Indigenous futures

2. Key Labs and Research Groups

2.1 Stanford HAI (Human-Centered AI Institute)

• Location: Stanford University, California
• Focus: Interdisciplinary AI research bridging CS, law, medicine, social sciences, humanities; policy; foundation models; AI Index Report
• Notable Faculty: Fei-Fei Li (co-director), Percy Liang, Christopher Manning
• Relevance: Premier institution for human-centered AI; annual AI Index Report shapes global discourse; collaboration with ETH Zurich and EPFL (2026)
• Programs: Faculty fellowships, visiting researcher positions, postdocs
• URL: https://hai.stanford.edu/

2.2 MIT CSAIL

• Location: MIT, Cambridge, Massachusetts
• Focus: Broad CS/AI research; now home to Omar Khattab's DSPy group
• Notable Faculty: Omar Khattab (new), numerous others across NLP, robotics, theory
• Relevance: DSPy research home; potential collaboration on prompt programming frameworks
• URL: https://www.csail.mit.edu/

2.3 Princeton Language and Intelligence (PLI)

• Location: Princeton University, New Jersey
• Focus: Language models, reasoning, code generation, AI agents
• Notable Faculty: Karthik Narasimhan, Ofir Press (postdoc), Danqi Chen
• Relevance: Hub for prompting method research (ReAct, Self-Ask originated here or with alumni); strong theory + practice balance
• URL: https://pli.princeton.edu/

2.4 Mila – Quebec AI Institute

• Location: Montreal, Quebec, Canada
• Focus: Deep learning, AI safety, AI for social good, Indigenous AI (FLAIR)
• Notable People: Yoshua Bengio (founder/advisor), Laurent Charlin (interim scientific director), Michael Running Wolf (FLAIR)
• Key Programs:
  • FLAIR (First Languages AI Reality) — Indigenous language AI
  • Indigenous Pathfinders in AI (with Indspire, CIFAR)
  • Indigenous AI Gathering (annual, since 2025)
  • LawZero (Bengio's AI safety nonprofit)
• Relevance: HIGHEST PRIORITY LAB. Canadian, Indigenous-committed, world-class AI research, direct FLAIR connection, institutional support for Indigenous AI. Mila is the natural institutional partner for IAIP.
• Programs: PhD co-supervision with McGill/UdeM/Poly; postdocs; visiting researchers; community programs
• URL: https://mila.quebec/

2.5 Concordia — Indigenous Futures Research Centre

• Location: Concordia University, Montreal, Quebec
• Focus: Indigenous digital media, computational arts, Indigenous future imaginary, Abundant Intelligences
• Notable Faculty: Jason Edward Lewis (director)
• Key Programs:
  • Abundant Intelligences (~$23M SSHRC-funded)
  • Indigenous Futures Research Centre
  • Skins Workshops (game design for Indigenous communities)
• Relevance: HIGHEST PRIORITY. The Abundant Intelligences program is the single most aligned institutional initiative to IAIP's mission. Lewis's team bridges Indigenous knowledge, digital media, and AI.
• URL: https://www.ifrc.ca/ · https://abundant-intelligences.net/

2.6 University of Edinburgh — Centre for Technomoral Futures

• Location: Edinburgh, Scotland
• Focus: AI ethics, virtue ethics for technology, responsible AI divides
• Notable Faculty: Shannon Vallor (director)
• Key Programs: BRAID (Bridging Responsible AI Divides); Edinburgh Futures Institute
• Relevance: Vallor's virtue ethics framework is highly compatible with IAIP's relational ethics. BRAID explicitly bridges humanities and AI research.
• URL: https://www.technomoralfutures.uk/

2.7 Yale Digital Ethics Center

• Location: Yale University, Connecticut
• Focus: Digital ethics, philosophy of information, AI governance
• Notable Faculty: Luciano Floridi (director)
• Relevance: Floridi's conceptual frameworks provide philosophical grounding; policy influence
• URL: https://dec.yale.edu/

2.8 University of Vienna — Philosophy of Technology

• Location: Vienna, Austria
• Focus: Philosophy of media and technology, communicative AI, political philosophy of AI
• Notable Faculty: Mark Coeckelbergh
• Relevance: Coeckelbergh's Communicative AI work directly addresses philosophy of human-AI communication
• URL: https://philtech.univie.ac.at/

2.9 DAIR (Distributed AI Research Institute)

• Location: Distributed (founded by Timnit Gebru)
• Focus: Independent, community-rooted AI ethics research; frugal AI; bias and fairness
• Relevance: Independent model mirrors IAIP's independence; shared community-driven values; advocacy for small, culturally-specific models
• URL: https://www.dair-institute.org/

2.10 University of Washington — Computational Linguistics Lab

• Location: Seattle, Washington
• Focus: Computational linguistics, NLP ethics, grammar engineering, language technology for endangered languages
• Notable Faculty: Emily Bender (director)
• Relevance: Bridges linguistics, CS, and ethics; endangered language tech work resonates with Indigenous language goals
• URL: https://linguistics.washington.edu/

2.11 Google DeepMind / Anthropic Research

• Google DeepMind: London/Mountain View; frontier model research; safety team; less accessible for collaboration but essential citation source
• Anthropic: San Francisco; constitutional AI, interpretability research; their "constitutional AI" approach of encoding values into AI systems resonates philosophically with IAIP's ceremonial protocols
• Relevance: Important references but lower collaboration priority (industry, proprietary)

3. Canadian University Landscape

3.1 University of Toronto / Vector Institute

• Location: Toronto, Ontario
• Relevant Programs: MSc Applied Computing (AI/ML focus); Linguistics MA/PhD; Philosophy (ethics specializations)
• Key Faculty: Jimmy Ba (supervisor of Yongchao Zhou — APE paper); Geoffrey Hinton (emeritus); numerous NLP researchers
• Vector Institute: National AI research hub; co-located with U of T; industry partnerships
• Indigenous Programs: Limited dedicated Indigenous AI programs, but strong general AI + NLP capabilities
• IAIP Relevance: Zhou (APE) is here; Vector Institute funding mechanisms; strong NLP + AI ethics ecosystem

3.2 McGill University / Mila Connection

• Location: Montreal, Quebec
• Relevant Programs: Computer Science PhD (with Mila co-supervision); Linguistics PhD; Philosophy
• Key Faculty: Michael Running Wolf (PhD candidate); numerous Mila-affiliated faculty
• IAIP Relevance: Running Wolf is here; direct Mila connection; FLAIR program; Montreal Indigenous AI ecosystem

3.3 Concordia University

• Location: Montreal, Quebec
• Relevant Programs: Computation Arts PhD; Individualized Graduate Programs (custom interdisciplinary); Applied AI microprogram
• Key Faculty: Jason Edward Lewis (University Research Chair)
• Indigenous Programs: Indigenous Futures Research Centre; Abundant Intelligences; Initiative for Indigenous Futures
• IAIP Relevance: HIGHEST PRIORITY CANADIAN UNIVERSITY for IAIP collaboration. Lewis's programs are the closest match to IAIP's mission anywhere in the world.

3.4 University of British Columbia (UBC)

• Location: Vancouver, British Columbia
• Relevant Programs: Cognitive Systems (interdisciplinary: philosophy, psychology, linguistics, CS); Computer Science; Linguistics; Philosophy
• Key Faculty: Caroline Running Wolf (PhD candidate, Anthropology)
• Indigenous Programs: First Nations and Indigenous Studies; Indian Residential School History and Dialogue Centre
• IAIP Relevance: Running Wolf (Buffalo Tongue) is here; Cognitive Systems program is naturally interdisciplinary; strong Indigenous studies infrastructure

3.5 McMaster University

• Location: Hamilton, Ontario
• Relevant Programs: MSc/PhD in Cognitive Science of Language (deeply interdisciplinary: linguistics, philosophy, CS/AI, neuroscience, psycholinguistics)
• IAIP Relevance: The Cognitive Science of Language program is the most naturally interdisciplinary Canadian graduate program bridging AI + linguistics + philosophy

3.6 University of Ottawa

• Location: Ottawa, Ontario
• Relevant Programs: Master of Interdisciplinary Artificial Intelligence (partly online)
• IAIP Relevance: Proximity to federal government and policy-making; interdisciplinary AI program; bilingual institution

3.7 University of Alberta

• Location: Edmonton, Alberta
• Relevant Programs: Computing Science (strong reinforcement learning tradition — Rich Sutton); Philosophy
• Indigenous Programs: Faculty of Native Studies; hosted IP//AI position paper reflection events
• IAIP Relevance: Sutton's RL group is world-class; Faculty of Native Studies provides Indigenous scholarly infrastructure

3.8 Université de Montréal

• Location: Montreal, Quebec
• Relevant Programs: Computer Science (Mila-affiliated); Philosophy; Linguistics
• Key Faculty: Yoshua Bengio (full professor)
• IAIP Relevance: Mila home institution; Bengio's AI safety pivot and LawZero initiative

4. Conference Map

4.1 Technical AI/NLP Conferences

4.2 Ethics & Society Conferences

4.3 Indigenous Technology Conferences

4.4 Philosophy of AI / Technology Conferences

5. Recommended Outreach Priorities

Tier 1: Immediate Outreach (Highest Alignment)

Tier 2: Strategic Outreach (Strong Alignment)

Tier 3: Reference & Citation (Important but Lower Collaboration Priority)

6. Sources

Researcher Profiles

• Omar Khattab: https://omarkhattab.com/ · https://www.eecs.mit.edu/people/omar-khattab/
• Yongchao Zhou: https://scholar.google.com/citations?user=35M6rhsAAAAJ
• Shunyu Yao: https://www.toolmesh.ai/news/openai-yao-shunyu-joins-tencent-ai-scientist
• Ofir Press: https://ofir.io/ · https://ai.princeton.edu/news/2025/meet-postdoc-qa-ofir-press
• Jason Wei: https://www.jasonwei.net/
• Luciano Floridi: https://dec.yale.edu/people/luciano-floridi · https://www.philosophyofinformation.net/about/
• Shannon Vallor: https://edwebprofiles.ed.ac.uk/profile/shannon-vallor · https://www.technomoralfutures.uk/
• Mark Coeckelbergh: https://philtech.univie.ac.at/team/mark-coeckelbergh/ · https://aisocietycritique.org/team/mark-coeckelbergh/
• Emily Bender: https://linguistics.washington.edu/people/emily-m-bender
• Timnit Gebru: https://www.dair-institute.org/
• Michael Running Wolf: https://indigenousai.io/ · https://en.wikipedia.org/wiki/Michael_Running_Wolf
• Caroline Running Wolf: https://indigenousai.io/
• Jason Edward Lewis: https://www.concordia.ca/faculty/jason-edward-lewis.html · https://jasonlewis.org/
• Angie Abdilla: https://www.oldwaysnew.com/ · https://scholar.google.com/citations?user=jy_9vBcAAAAJ

Lab & Institute Pages

• Stanford HAI: https://hai.stanford.edu/
• MIT CSAIL: https://www.csail.mit.edu/
• Princeton PLI: https://pli.princeton.edu/
• Mila: https://mila.quebec/
• Concordia IFRC: https://www.ifrc.ca/
• Abundant Intelligences: https://abundant-intelligences.net/
• FLAIR: https://mila.quebec/en/ai4humanity/applied-projects/first-languages-ai-reality
• Centre for Technomoral Futures: https://www.technomoralfutures.uk/
• Yale Digital Ethics Center: https://dec.yale.edu/
• DAIR: https://www.dair-institute.org/
• LawZero: https://lawzero.org/

Key Papers

• Zhou et al., "Large Language Models Are Human-Level Prompt Engineers" (2023): https://arxiv.org/abs/2211.01910
• Wei et al., "Chain-of-Thought Prompting Elicits Reasoning in LLMs" (2022): https://arxiv.org/abs/2201.11903
• Yao et al., "Tree of Thoughts" (2023): https://arxiv.org/abs/2305.10601
• Yao et al., "ReAct" (2023): https://arxiv.org/abs/2210.03629
• Bender et al., "Stochastic Parrots" (2021): https://dl.acm.org/doi/10.1145/3442188.3445922
• Lewis et al., "Indigenous Protocol and AI Position Paper" (2020): https://spectrum.library.concordia.ca/id/eprint/986506/7/Indigenous_Protocol_and_AI_2020.pdf
• Cui & Zhang, "Survey of Automatic Prompt Optimization" (2025): https://arxiv.org/abs/2502.18746
• "Pragmatics in the Era of LLMs" (ACL 2025): https://aclanthology.org/2025.acl-long.425.pdf

Conferences

• ACL 2026: https://2026.aclweb.org/
• NeurIPS 2025: https://neurips.cc/Conferences/2025
• NeurIPS 2026: https://neurips.cc/Conferences/2026
• FAccT 2025: https://facctconference.org/2025/
• AIES 2025: https://www.aies-conference.com/2025/
• AIES 2026: https://aaai.org/conference/aies/
• Indigenous AI Gathering 2025: https://mila.quebec/en/indigenous-ai-gathering-2025-meet-the-speakers
• GIDA IDSov Workshop 2026: https://www.gida-global.org/gidaidsovaiworkshop
• AI for Cultural Heritage 2026: https://ai4chief.roc.cnam.fr/

Canadian Universities

• U of T: https://www.universitymagazine.ca/best-universities-for-artificial-intelligence-in-canada/
• UBC Cognitive Systems: https://you.ubc.ca/ubc-life/academics-learning/interdisciplinary-studies-innovative-programs/
• McMaster Cognitive Science of Language: https://linguistics.humanities.mcmaster.ca/graduate-programs/
• U of Ottawa Interdisciplinary AI: https://www.uottawa.ca/faculty-engineering/online-programs/master-interdisciplinary-artificial-intelligence
• Concordia Graduate Programs: https://www.concordia.ca/academics/graduate.html

Two-Eyed Seeing / Indigenous Epistemology

• Two-Eyed Seeing and AI in Healthcare (2025): https://link.springer.com/article/10.17269/s41997-025-01037-1
• Etuaptmumk Journal: https://etuaptmumk.net/
• Journal of Aboriginal Education (2025 issue): https://jaed.ca/index.php/jaed/issue/view/34
• Coady Institute: https://coady.stfx.ca/etuaptmumk-two-eyed-seeing/

Document compiled April 6, 2026 for the IAIP Polyphonic Discussion research stream.