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How IAs Can Shape the Future of Human-AI Collaboration
The document discusses how Intelligent Augmentation Systems (IAS) can enhance human-machine collaboration, emphasizing co-evolution, mutual learning, and user control in dynamic environments. It explores frameworks for effective human-AI interactions, including communication patterns and collaborative decision-making processes. IAS is positioned as pivotal for developing transparent and trust-generating relationships between humans and machines across various applications, including semi-autonomous vehicles and decision support systems.
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How IAs Can Shape the Future of Human-AI Collaboration
- 1. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 How IAs can shape the future of human/AI collaboration IA CONFERENCE 2021 Carol Smith ! @ddegler ! @carologic Duane Degler https://d4c.link/IAC21
- 2. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 ● Existing data on a relatively narrow topic ● Algorithms (math) selected to reach desired outcome ● Training of system ● Evaluation and iteration CREATING ARTIFICIAL INTELLIGENCE Electric Motor Engineering: https://www.electricmotorengineering.com/amazon-acquiring-zoox-a-self-driving-startup/
- 3. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 ● “Emergent” in AI is more than building “machine intelligence” ● Co-evolution Mutual learning Mutual enabling ● Mutual agency: Humans and Machines ● Goal: Machines augmenting Human abilities EMERGENT PROPERTIES IN AI
- 4. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 ● Dynamic IA: at the point of human interaction, the human experience is not with static structures IAs must allow many contextual forces to interact with each other in a way that is transparent, yet able to be controlled by the user ● How? ● Design with an expectation of co-evolution ● Provide feedback loops when releasing semi-autonomous entities into the world ● Engage responsibly with our dynamic creations EMERGENT IMPLICATIONS FOR IA No Static: IA for Dynamic Information Environments Degler (2018) https://d4c.link/IAC18
- 5. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 What does it mean to respond appropriately? How are complementary roles and contributions fostered? How is respect shown? Will the relationship build and sustain trust over time? WHAT DOES A HEALTHY RELATIONSHIP LOOK LIKE?
- 6. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 HUMAN-MACHINE COLLABORATION ● Semi-autonomous vehicles ● Information search and research ● Decision support
- 7. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 SEMI-AUTONOMOUS VEHICLES Tesla Autopilot in Heavy LA Traffic by Scott Kubo https://youtu.be/m3-QzTFxoUg?t=14
- 8. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 ● Levels of engagement and interaction ● Roles ● Transitions and timing ● Changes due to ● External influences ● Urgent situations SEMI-AUTONOMOUS VEHICLES
- 9. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 ● Features may be similar ● Longitudinal experience ● Over time needs, goals change …our experience changes ● Formulate and test hypothesis ● Question assumptions ● Shift paradigms I need to explore and collect value INFORMATION SEARCH & RESEARCH Wait… I know that now. Next, I need… We can work through that idea Explain. What’s the evidence?
- 10. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 ● Complex situations and influences ● Elaborating context, conditions ● Options ● Clarification ● Changing circumstances affect use and goals ● Observers' reactions CLARIFY SUSPEND ? ? >X <X ? OPTION A OPTION B DECISION SUPPORT
- 11. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 MODELS Understanding aspects of the environment and the relationship between human and machine
- 12. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 SITUATION SIGNALS Location Co-occurring events Date / time Conditions Devices / connectivity USER SIGNALS Usage patterns Experience Interests / profile History Community CONTENT SIGNALS Link relationships Text patterns Categories / keywords Metadata TASK SIGNALS Outcomes / goals Rules / requirements Criticality Sequence / status Frequency for user Degler (2013). Supporting Relevance for Users: A Design Challenge https://d4c.link/semtech13 Degler (2018). No Static: IA for Dynamic Information Environments https://d4c.link/IAC18 MODELS FOR CONTEXT SIGNALS (for content, as of 2013)
- 13. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 SITUATION Location Co-occurring events Date / time Participants Devices / connectivity ACTORS Usage patterns Experience Interests / profile History Community INFORMATION Link relationships Text patterns Categories / keywords Metadata Data structures TASK/OUTCOME Outcomes / goals Rules / requirements Criticality Sequence / status Frequency for user ENVIRONMENT Other people/things Weather Available resources Politics/economics Culture MODELS EVOLVE (for AI/dynamic IA, 2021)
- 14. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 COLLABORATION / ACTION FRAMEWORK
- 15. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 CATALYST CLOSURE Event Act Monitor Request Continue Complete INTERACTIONS COMMUNICATION NEGOTIATION COORDINATION TIME CYCLES OF INTERACTION
- 16. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 CATALYST CLOSURE Identify Identify Notify Notify Clarify Clarify Instruct Confirm Act Hand Off COMMUNICATION COORDINATION NEGOTIATION TIME CYCLE: AVOIDING A ROAD OBSTRUCTION
- 17. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 CATALYST CLOSURE Identify Identify Notify Notify Clarify Clarify Instruct Confirm Act Hand Off COMMUNICATION COORDINATION NEGOTIATION TIME CYCLE: AVOIDING A ROAD OBSTRUCTION But we know that most road situations aren’t like that…
- 18. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 (recover?) Identify Identify Instruct Act Explain Identify Hand Off Assess Act Learn TIME CYCLE: AVOIDING A ROAD OBSTRUCTION
- 19. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 CATALYST CLOSURE Formulate Reflect back Clarify Seek Assess Deliver Assess Select Question Collect Clarify Instruct Schedule Explain Assess Deliver Learn Select Seek TIME CYCLE: INITIATING SEARCH FOR RESEARCH
- 20. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 Assess Deliver Explain Instruct Refine Collect Remove Learn Adjust Question Explain Seek Assess Select Deliver Explain Update Update Gather Deliver Reflect back Clarify Seek Adjust CATALYST CLOSURE TIME CYCLE: RESUMING SEARCH FOR RESEARCH
- 21. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 CATALYST CLOSURE Identify Describe Explain Expand Suggest Explain Question Refine Record Clarify Question Reflect back Elaborate Prescribe Suggest TIME CYCLE: PROVIDING DECISION SUPPORT
- 22. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 CATALYST CLOSURE Explain Expand Suggest Explain Question Refine Record Discuss Elaborate Reflect back Elaborate Prescribe Suggest TIME CYCLE: PROVIDING DECISION SUPPORT Review Notify Question
- 23. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 VARIATIONS IN TIME CYCLE PATTERNS Autonomous vehicles journey Information research research process explore explore Decision support diagnosis treatment pathway emerge, evolve extend act extend act
- 24. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 Process Identification Awareness of situation Notification HUMAN-MACHINE COLLABORATION COMMUNICATION CATALYST CLOSURE Event Act Monitor Request Continue Complete COMMUNICATION
- 25. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 Clarification Confirmation Instruction Insights emerge and evolve HUMAN-MACHINE COLLABORATION NEGOTIATION CATALYST CLOSURE Event Act Monitor Request Continue Complete COMMUNICATION NEGOTIATION
- 26. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 Hand-offs are made Foster positive: Action is taken HUMAN-MACHINE COLLABORATION COORDINATION • Personal, societal, and environmental outcomes • Collaboratory H-M relationships CATALYST CLOSURE Event Act Monitor Request Continue Complete COMMUNICATION NEGOTIATION COORDINATION
- 27. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 …a non-linear process CONSIDER WITHIN BROADER PRODUCT PROCESSES ! Startup, design, initial training Adoption, maturing Evolution through use Visioning Research Design Training Use Feedback
- 28. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 IAs SHAPING THE FUTURE Reflecting on IA contributions to Human/AI Collaboration
- 29. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 ● Models ● Time cycles ● Design vocabularies ● Interaction classifications ● “CNC” – communication, negotiation, coordination ● Emergence: Development and evolutionary process REVISITING THE FRAMEWORK AND PERSPECTIVES
- 30. How IAs ShapeAI for Human-Machine Collaboration @carologic @ddegler #IAC21 How IAs can shape the future of human/AI collaboration IA CONFERENCE 2021 Carol Smith ! @ddegler ! @carologic Duane Degler https://d4c.link/IAC21