Imagine an AI that learns from you, understands your needs, and works alongside you like a true partner. That's the vision behind PEER, merging social science and AI to redefine decision-making. We're trying to go beyond traditional AI to create an AI that's truly useful and trustworthy.
Why the social science connection?
It's all about understanding human needs, values, and expectations. By integrating this understanding into AI development, PEER:
PEER achieves this through a cross-disciplinary approach:
Why is this important?
The challenge of limited user trust and acceptance remains a critical hurdle in deploying sequential decision-making AI systems. To address this, PEER focuses on co-creation, facilitating deeper bidirectional interaction between humans and AI.
The Bigger Picture
The co-creation workshops in PEER aim to involve users and stakeholders in defining human-AI collaborations at the outset of AI development. This process allows participants to identify social, ethical, and technical requirements to enhance interactions between end-users and AI systems.
Through discussions and the use of translations like paper prototypes or tech cards, participants co-create and define their preferred human-AI collaboration, tailored to their specific needs. By simulating these collaborations before development, the project aims to ensure that proposed solutions align with user expectations.
Building the Foundation
Defining User-Centric AI
Translating Algorithms into Action
Benefits of Early Collaboration
Imagine AI that doesn't just answer your questions, but chats with you about the best answer. That's what PEER's human-centered AI is all about: making joint decisions with you, especially for complicated ones.
Where AI Falls
Current AI often explains its decisions once, like a "black box." But for teamwork on complex tasks, this isn't enough. Users can feel left out, unsure why and how decisions are made.
The PEER Difference
We're building AI that learns alongside you:
This goes beyond simple explanations: Imagine AI helping you plan a trip, considering your budget and interests, or collaborating on a project in real-time, adjusting to your feedback.
The Result
Building Trustworthy AI: Putting the User in Focus
AI technology is rapidly advancing, but ensuring its trustworthiness is crucial. While researchers focus on ethical principles for development and deployment, the human element – trust and acceptance – is often overlooked.
This project addresses this gap by
Our project empowers users by ensuring
Artificial intelligence (AI) has become increasingly prevalent across various domains, from healthcare to retail, finance, and beyond. However, as AI systems play a more significant role in decision-making processes that impact our lives, issues around user trust and acceptance have emerged.
One reason for this is the lack of understanding and transparency in AI decision-making, leading to user mistrust. Additionally, current AI systems often fail to comprehend user needs and preferences, resulting in solutions that are not adequately personalized or tailored to individual situations. As a result, users may feel that AI systems hinder rather than empower them, reducing their autonomy.
PEER's Solution
We're developing AI that engages in deeper, ongoing interactions with humans. This means:
This goes beyond explaining single decisions. Imagine AI that learns your driving preferences or collaborates with you on managing a project in real-time.
The Impact
Empowering Users in Sequential Decision-Making with Natural Language Processing, Interactive Visualizations, and Adaptive Explanations.
Traditional Explainable AI (XAI) systems often struggle with sequential decision-making tasks, offering rigid options and limited explanations. PEER breaks this mold by integrating a novel Multimodal XAI framework that fosters dynamic user interaction and trust.
Core Technologies
Benefits of PEER's Multimodal XAI
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