Searched for: subject%3A%22AI%22
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LIAO, DINO (author)
New generative AI systems can make beautiful pictures, but can they help produce functional products? This graduation project investigated the potential for generative AI to aid the design of functional, 3D-printed lamps. <br/>Two studies were conducted to assess the degree to which AI can measurably improve design outputs. An AI-based software...
master thesis 2023
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Bharos, Abri (author)
Powerful predictive AI systems have demonstrated great potential in augmenting human decision-making. Recent empirical work has argued that the vision for optimal human-AI collaboration requires ‘appropriate reliance’ of humans on AI systems. However, accurately estimating the trustworthiness of AI advice at the instance level is quite...
master thesis 2022
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Lammerts, Philippe (author)
Hate speech detection on social media platforms remains a challenging task. Manual moderation by humans is the most reliable but infeasible, and machine learning models for detecting hate speech are scalable but unreliable as they often perform poorly on unseen data. Therefore, human-AI collaborative systems, in which we combine the strengths of...
master thesis 2022
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Ordonez Cardenas, Nathan (author)
A longstanding problem in the area of reinforcement learning is human-agent col- laboration. As past research indicates that RL agents undergo a distributional shift when they start collaborating with human beings, the goal is to create agents that can adapt. We build upon research using the two-player Overcooked environment to repro- duce a...
bachelor thesis 2022
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Lindhorst, Paul (author)
Human-AI teams require trust to operate efficiently and solve certain tasks like search &amp; rescue. Trustworthiness is measured using the ABI model; Ability, Benevolence and Integrity. This research paper tries to observe the effect a conflicting robot has on the human trustworthiness. The hypothesis we try to test is: “human trustworthiness...
bachelor thesis 2022
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