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The project

AI Work for Good: Exploring
Human-centric Artificial Intelligence

The rise of Artificial Intelligence (AI) presents enormous opportunities to solve complex problems, optimize processes, and drive economic growth. However, ensuring AI aligns with human needs and values is crucial to maximize its potential.

Imagine a world where AI seamlessly integrates into our lives, making them simpler, safer, and more productive. That's the future PEER is working towards. We're developing AI solutions designed to benefit both individuals and industries.

Here's how

  • User-centered design: We put people at the core of everything, ensuring AI tools are accessible, understandable, and address real-world needs.
  • Meaningful collaboration: We go beyond explanation, fostering interactive partnerships were humans and AI work together, leveraging each other's strengths.
  • Trust and transparency: We make AI decision-making clear and understandable, building trust and confidence in its outputs.

Impact of Human-Centered AI

  • Improved decision-making: By combining human insight with AI's analytical power, we can make more informed and effective decisions across various domains.
  • Enhanced efficiency and productivity: AI can automate tasks and optimize processes, freeing up human resources to focus on higher-level thinking and problem-solving.
  • Sustainable economic growth: By addressing critical challenges and improving efficiency, AI can contribute to economic growth and competitiveness.
Project overview

Redefining Sequential Decision-Making
with Human-Centered AI

The growing role of AI in complex sequential decision-making demands innovative solutions. Putting, the user, at the center of everything, ensuring AI works with you, not for you.

What makes PEER different?

  • Accessible Design: Demystifying AI capabilities and limitations for stakeholders throughout the development process, maximizing transparency and informed decision-making.
  • Collaborative Problem-Solving: Enabling bidirectional communication between AI and users, creating a dynamic feedback loop that enhances user engagement and refines outcomes.
  • Human-Centric Metrics: Moving beyond traditional AI performance indicators, PEER develops qualitative and quantitative measures that assess interactivity, acceptance, explainability, trustworthiness, and perceived fairness, ensuring AI aligns with human values and needs.

Key objectives

  • Enhanced User Acceptance: Building trust through transparency and collaborative decision-making, encouraging broader adoption of AI solutions.
  • Optimized Outcomes: Leveraging the strengths of both humans and AI for improved problem-solving and more effective decision-making.
  • Responsible AI Development: Establishing reliable, transparent, and trustworthy AI frameworks, ensuring ethical and socially responsible deployment in real-world applications.

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