Robert G McNamara
Biographic Data
| ID | 6554901 |
|---|---|
| NAME | Robert G McNamara |
| GIVEN NAMES | Robert G |
| FAMILY NAME | McNamara |
| SIGNATURE | MCNAMARA R G |
| AFFILIATIONS | Baltic Film, Media and Arts School, Tallinn University , Narva Maantee 27 , Tallinn 10120, Estonia |
| ORCID | 0000-0003-1649-3295 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Empathic Nuances of Machine-Mediated Asylum-Seeker Narratives
The use of artificial human-like agents within the legal context of immigration is still a largely understudied topic. We employed a computer- generated asylum seeker with a narrative interpolated by ChatGPT4 to examine whether “uncanniness” in machine-mediation affected empathic decision-making. In an online study, 466 participants were instructed on the United Nations’ legal standard for granting asylum. They were then asked to simulate the rol…
Well-Founded Fear of Algorithms or Algorithms of Well-Founded Fear? Hybrid Intelligence in Automated Asylum Seeker Interviews
Growing numbers of asylum seekers across Europe have created heightened pressure on governments to employ technologies to assist immigration systems in meeting humanitarian standards of international law. This article analyses the potential of hybrid intelligence (HI)—a machine learning (ML) utility supervised by and supervising human intelligence—for assisting both asylum seekers and immigration officers in performing fair and just assessments, …
Well-Founded Fear of Algorithms or Algorithms of Well-Founded Fear? Hybrid Intelligence in Automated Asylum Seeker Interviews
Growing numbers of asylum seekers across Europe have created heightened pressure on governments to employ technologies to assist immigration systems in meeting humanitarian standards of international law. This article analyses the potential of hybrid intelligence (HI)—a machine learning (ML) utility supervised by and supervising human intelligence—for assisting both asylum seekers and immigration officers in performing fair and just assessments, …
Well-Founded Fear of Algorithms or Algorithms of Well-Founded Fear? Hybrid Intelligence in Automated Asylum Seeker Interviews
Growing numbers of asylum seekers across Europe have created heightened pressure on governments to employ technologies to assist immigration systems in meeting humanitarian standards of international law. This article analyses the potential of hybrid intelligence (HI)—a machine learning (ML) utility supervised by and supervising human intelligence—for assisting both asylum seekers and immigration officers in performing fair and just assessments, …
Empathic Nuances of Machine-Mediated Asylum-Seeker Narratives
The use of artificial human-like agents within the legal context of immigration is still a largely understudied topic. We employed a computer- generated asylum seeker with a narrative interpolated by ChatGPT4 to examine whether “uncanniness” in machine-mediation affected empathic decision-making. In an online study, 466 participants were instructed on the United Nations’ legal standard for granting asylum. They were then asked to simulate the rol…
Asylum seeker (2 works) · Migration, Health and Trauma (2 works) · Political science (2 works) · Refugee (2 works) · Aesthetics (1 work) · Algorithm (1 work) · Art (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Empathy (1 work)