Benjamin H Lang
Biographic Data
| ID | 9030304 |
|---|---|
| NAME | Benjamin H Lang |
| GIVEN NAMES | Benjamin H |
| FAMILY NAME | Lang |
| SIGNATURE | LANG B H |
| AFFILIATIONS | New York University |
| ORCID | 0000-0002-8474-2890 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 10 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Assessing the Risk of Domination and Depoliticized Aspiration with Personalized AI Advisors
I am grateful to Matthieu Queloz for his thoughtful commentary. I take his critique to be that, while personalization and co-reasoning are in many ways appealing, they are insufficient safeguards against manipulation or interference by bad actors. I address his central claims, clarifying and expanding as needed
Dropping Anchor or Chasing the Horizon? Theoretical and Practical Challenges for Personalized AI Advisors
Unlike generic AI advisors which aid in normative deliberation according to preloaded values and creeds (i.e., Singerian Utilitarianism, Calvinist Protestantism, or Stoicism), personalized AI advisors aim to aid in users’ decision-making by their own lights . In this paper, I argue personalized AI advisors face a challenge called the Anchoring Problem : the difficulty of adjudicating between competing temporal and psychological reference points f…
Trust criteria for artificial intelligence in health
Rapid advancements in artificial intelligence and machine learning (AI/ML) in healthcare raise pressing questions about how much users should trust AI/ML systems, particularly for high stakes clinical decision-making. Ensuring that user trust is properly calibrated to a tool’s computational capacities and limitations has both practical and ethical implications, given that overtrust or undertrust can influence over-reliance or under-reliance on al…
Are physicians requesting a second opinion really engaging in a reason-giving dialectic? Normative questions on the standards for second opinions and AI
Concerning a seemingly intractable feature of the accountability gap
The authors put forward an interesting response to detractors of black box algorithms. According to the authors, what is of ethical relevance for medical artificial intelligence is not so much their transparency, but rather their reliability as a process capable of producing accurate and trustworthy results. The implications of this view are twofold. First, it is permissible to implement a black box algorithm in clinical settings, provided the al…
Effects of Exposure and Vowel Space Distribution on Phonetic Drift
Recent work by Chang has shown that even at the very earliest stages of second language (L2) acquisition, the phonetic implementation of speakers’ native English phoneme categories is slightly modified by contact with L2 Korean, which is referred to as “phonetic drift.” This study investigates whether rapid phonetic drift generalizes to another pairing of languages. We examined naïve American English learners of French, who were recorded producin…
Effects of Exposure and Vowel Space Distribution on Phonetic Drift
Recent work by Chang has shown that even at the very earliest stages of second language (L2) acquisition, the phonetic implementation of speakers’ native English phoneme categories is slightly modified by contact with L2 Korean, which is referred to as “phonetic drift.” This study investigates whether rapid phonetic drift generalizes to another pairing of languages. We examined naïve American English learners of French, who were recorded producin…
Effects of Exposure and Vowel Space Distribution on Phonetic Drift
Recent work by Chang has shown that even at the very earliest stages of second language (L2) acquisition, the phonetic implementation of speakers’ native English phoneme categories is slightly modified by contact with L2 Korean, which is referred to as “phonetic drift.” This study investigates whether rapid phonetic drift generalizes to another pairing of languages. We examined naïve American English learners of French, who were recorded producin…
Concerning a seemingly intractable feature of the accountability gap
The authors put forward an interesting response to detractors of black box algorithms. According to the authors, what is of ethical relevance for medical artificial intelligence is not so much their transparency, but rather their reliability as a process capable of producing accurate and trustworthy results. The implications of this view are twofold. First, it is permissible to implement a black box algorithm in clinical settings, provided the al…
Are physicians requesting a second opinion really engaging in a reason-giving dialectic? Normative questions on the standards for second opinions and AI
Trust criteria for artificial intelligence in health
Rapid advancements in artificial intelligence and machine learning (AI/ML) in healthcare raise pressing questions about how much users should trust AI/ML systems, particularly for high stakes clinical decision-making. Ensuring that user trust is properly calibrated to a tool’s computational capacities and limitations has both practical and ethical implications, given that overtrust or undertrust can influence over-reliance or under-reliance on al…
Dropping Anchor or Chasing the Horizon? Theoretical and Practical Challenges for Personalized AI Advisors
Unlike generic AI advisors which aid in normative deliberation according to preloaded values and creeds (i.e., Singerian Utilitarianism, Calvinist Protestantism, or Stoicism), personalized AI advisors aim to aid in users’ decision-making by their own lights . In this paper, I argue personalized AI advisors face a challenge called the Anchoring Problem : the difficulty of adjudicating between competing temporal and psychological reference points f…
Assessing the Risk of Domination and Depoliticized Aspiration with Personalized AI Advisors
I am grateful to Matthieu Queloz for his thoughtful commentary. I take his critique to be that, while personalization and co-reasoning are in many ways appealing, they are insufficient safeguards against manipulation or interference by bad actors. I address his central claims, clarifying and expanding as needed
Artificial Intelligence in Healthcare and Education (4 works) · Ethics and Social Impacts of AI (4 works) · Psychology (4 works) · Epistemology (3 works) · Normative (3 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Dialectic (2 works) · Embodied and Extended Cognition (2 works) · Explainable Artificial Intelligence (XAI (2 works)