Searched for: subject%3A%22human%255C-ai%255C%2Bcollaboration%22
(1 - 12 of 12)
document
Kordian, Pajam (author)
While robots and automation in general have been replacing humans in repetitive and routine labour for many years, the role of AI is considered to develop from mere tools to integral teammates. However, recent developments in artificial intelligence (AI) are redefining the role of AI from being mere tools to becoming...
master thesis 2023
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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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Mesbah, Sepideh (author), Arous, Ines (author), Yang, J. (author), Bozzon, A. (author)
Evaluating design ideas is necessary to predict their success and assess their impact early on in the process. Existing methods rely either on metrics computed by systems that are effective but subject to errors and bias, or experts' ratings, which are accurate but expensive and long to collect. Crowdsourcing offers a compelling way to...
conference paper 2023
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Boonprakong, Nattapat (author), He, G. (author), Gadiraju, Ujwal (author), Van Berkel, Niels (author), Wang, Danding (author), Chen, Si (author), Liu, Jiqun (author), Tag, Benjamin (author), Goncalves, Jorge (author), Dingler, Tilman (author)
AI systems are increasingly incorporated into human decision-making. Yet, human decision-makers are often affected by their cognitive biases. In critical settings, such as medical diagnosis, criminal judgment, or information consumption, these cognitive biases hinder optimal decision outcomes, thereby resulting in dangerous decisions and...
conference paper 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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van der Waa, J.S. (author)
As a society, we have come to notice the influence and impact Artificially Intelligent (AI) agents have on the way we live our lives. For these AI agents to support us both effectively and responsibly, we require an understanding on how they make decisions and what the consequences are of these decisions. The research _field of Explainable...
doctoral 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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Schoonderwoerd, Tjeerd A.J. (author), van Zoelen, E.M. (author), Bosch, Karel van den (author), Neerincx, M.A. (author)
The rapid advancement of technology empowered by artificial intelligence is believed to intensify the collaboration between humans and AI as team partners. Successful collaboration requires partners to learn about each other and about the task. This human-AI co-learning can be achieved by presenting situations that enable partners to share...
journal article 2022
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Arous, Ines (author), Yang, J. (author), Khayati, Mourad (author), Cudre-Mauroux, Philippe (author)
Scientific peer review is pivotal to maintain quality standards for academic publication. The effectiveness of the reviewing process is currently being challenged by the rapid increase of paper submissions in various conferences. Those venues need to recruit a large number of reviewers of different levels of expertise and background. The...
conference paper 2021
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Peeters, Marieke M.M. (author), van Diggelen, Juriaan (author), Van Den Bosch, Karel (author), Bronkhorst, Adelbert (author), Neerincx, M.A. (author), Schraagen, Jan Maarten (author), Raaijmakers, Stefan (author)
Within current debates about the future impact of Artificial Intelligence (AI) on human society, roughly three different perspectives can be recognised: (1) the technology-centric perspective, claiming that AI will soon outperform humankind in all areas, and that the primary threat for humankind is superintelligence; (2) the human-centric...
journal article 2020
Searched for: subject%3A%22human%255C-ai%255C%2Bcollaboration%22
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