AI in cybersecurity: The paradox
Modern artificial intelligence is inherently paradoxical in many ways. While AI aims to
increase automation, it also requires more intimate human involvement to reflect on the …
increase automation, it also requires more intimate human involvement to reflect on the …
Trustworthy ai: A computational perspective
In the past few decades, artificial intelligence (AI) technology has experienced swift
developments, changing everyone's daily life and profoundly altering the course of human …
developments, changing everyone's daily life and profoundly altering the course of human …
Big AI: Cloud infrastructure dependence and the industrialisation of artificial intelligence
Critical scholars contend that 'There is no AI without Big Tech'. This study delves into the
substantial role played by major technology conglomerates, including Amazon, Microsoft …
substantial role played by major technology conglomerates, including Amazon, Microsoft …
Who should i trust: Ai or myself? leveraging human and ai correctness likelihood to promote appropriate trust in ai-assisted decision-making
In AI-assisted decision-making, it is critical for human decision-makers to know when to trust
AI and when to trust themselves. However, prior studies calibrated human trust only based …
AI and when to trust themselves. However, prior studies calibrated human trust only based …
Four investment areas for ethical AI: Transdisciplinary opportunities to close the publication-to-practice gap
J Schaich Borg - Big Data & Society, 2021 - journals.sagepub.com
Big Data and Artificial Intelligence have a symbiotic relationship. Artificial Intelligence needs
to be trained on Big Data to be accurate, and Big Data's value is largely realized through its …
to be trained on Big Data to be accurate, and Big Data's value is largely realized through its …
From bad users and failed uses to responsible technologies: A call to expand the AI ethics toolkit
G Neff - Proceedings of the AAAI/ACM Conference on AI, Ethics …, 2020 - dl.acm.org
Recent advances in artificial intelligence applications have sparked scholarly and public
attention to the challenges of the ethical design of technologies. These conversations about …
attention to the challenges of the ethical design of technologies. These conversations about …
Comparing the emergence of technical and social sciences research in artificial intelligence
Applications of Artificial Intelligence (AI) can be examined from perspectives of different
disciplines and research areas ranging from computer science and security, engineering …
disciplines and research areas ranging from computer science and security, engineering …
[PDF][PDF] A proposal for identifying and managing bias in artificial intelligence
R Schwartz, L Down, A Jonas… - Draft NIST Special …, 2021 - academia.edu
NIST contributes to the research, standards, evaluation, and data required to advance the
102 development and use of trustworthy artificial intelligence (AI) to address economic …
102 development and use of trustworthy artificial intelligence (AI) to address economic …
Designing a risk assessment tool for artificial intelligence systems
Notwithstanding its potential benefits, organizational AI use can lead to unintended
consequences like opaque decision-making processes or biased decisions. Hence, a key …
consequences like opaque decision-making processes or biased decisions. Hence, a key …
Regulating for'Normal AI Accidents' Operational Lessons for the Responsible Governance of Artificial Intelligence Deployment
MM Maas - Proceedings of the 2018 AAAI/ACM Conference on AI …, 2018 - dl.acm.org
New technologies, particularly those which are deployed rapidly across sectors, or which
have to operate in competitive conditions, can disrupt previously stable technology …
have to operate in competitive conditions, can disrupt previously stable technology …