HMC22 Abstracts

Author index

  • Amir Asadi, Elizabeth Williams, Damith Herath and Josh Andres. “Human-Machine Collaboration in Healthcare: A critical overview of performance evaluation approaches.”
  • Prabhathi Basnayake, “Exploring the sense of responsibility regarding involving Artificial Intelligence in mammography interpretation.”
  • Tatiana Chakravorti. “Designing Hybrid Crowd+AI Prediction Markets for Estimating Scientific Replicability.”
  • Lingwei Cheng. “Overcoming Algorithm Aversion through Process Control: People Will Use Imperfect Algorithms if They Can (Even Slightly) Customize Them.”
  • Katherine Collins. “Treating human uncertainty in human-machine teaming.”
  • Snehal Prabhudesai and Ned Cooper, “The Potential Harms of Algorithmic Hand-offs.”
  • Maria-Camilla Fiazza. “Whose fault is it? Liability profiles in Surgical Systems.”
  • Talia B. Gillis. “On the Fairness of Machine-Assisted Human Decisions.”
  • Margot Hanley, “Designing with Data: Human-Algorithm Collaboration in the Ultra-Fast Fashion Industry”
  • Marlijn Heijnen. “Involving stakeholders: The role of power in ELSA lab Defence for military AI”
  • Wanheng Hu. “From Accuracy to Alignment: How Radiologists Work with and Build Trust in Machine Learning Algorithms.”
  • Myrna Kennedy. “Cybernetics approach for more sustainable human-machine collaboration in banking apps”
  • Georgia Lorenzini. “Artificial Intelligence and the Doctor-Patient Relationship: Expanding the Paradigm of Shared Decision Making.”
  • Michael Raphael. “Bounded Rationality and Artificial Intelligence: Grounding Human-Machine Collaboration in the Prospect of Artificial Intelligibility.”
  • Lorenn Ruster. “Centring dignity in the responsible design of human-machine collaborations: an exploration.”
  • Jakob Shöffer. “On Explanations, Fairness, And Appropriate Reliance in Human-AI Decision-Making.”
  • Emma van Zoelen. “Human-Machine Co-Learning: Reflective Communication for Shared Awareness of Emergent Collaboration Patterns.”
  • Julian Vido. “The Artist Formerly Known As Your Computer: Ensuring Safe and Responsible Human-Machine Collaboration with Automated Media Generation Tools.”