Results 81 to 90 of about 1,042,676 (182)

Harnessing Metacognition for Safe and Responsible AI

Technologies
The rapid advancement of artificial intelligence (AI) technologies has transformed various sectors, significantly enhancing processes and augmenting human capabilities.
Peter B. Walker, Jonathan J. Haase, Melissa L. Mehalick, Christopher T. Steele, Dale W. Russell, Ian N. Davidson   +5 more
doaj   +1 more source

Responsible use of Generative AI in chemical engineering

Digital Chemical Engineering
Generative Artificial Intelligence is a rapidly developing area being used to create powerful tools which have the potential to change a wide range of professional practices in chemical engineering.
Thorin Daniel, Jin Xuan
doaj   +1 more source

Responsible AI Agents

Thanks to advances in large language models, a new type of software agent, the artificial intelligence (AI) agent, has entered the marketplace. Companies such as OpenAI, Google, Microsoft, and Salesforce promise their AI Agents will go from generating passive text to executing tasks.
Desai, Deven R., Riedl, Mark O.
openaire   +2 more sources

Correlation Metrics for Safe Artificial Intelligence

Risks
There is a growing need to provide AI risk management models that can assess whether AI applications are safe and trustworthy, to make them responsible. To date, there are a few research papers on this topic.
Golnoosh Babaei, Paolo Giudici
doaj   +1 more source

Structured AI decision-making in disaster management

Scientific Reports
With artificial intelligence (AI) being applied to bring autonomy to decision-making in safety-critical domains such as the ones typified in the aerospace and emergency-response services, there has been a call to address the ethical implications of ...
Julian Gerald Dcruz, Argyrios Zolotas, Niall Ross Greenwood, Miguel Arana-Catania   +3 more
doaj   +1 more source

Decoding responsible AI use: the influence of digital literacy and ethical awareness

Cogent Education
Artificial Intelligence (AI) advancements have created the need for ethical and responsible use of AI to leverage the best out of it. The role of trust in AI systems and user training influences the attitude towards the technology.
Dhanya Pramod
doaj   +1 more source

Best Practices for the Responsible Adoption of Generative AI in Higher Education

Proceedings
In this paper, we propose a set of best practices for the responsible adoption of Generative Artificial Intelligence (AI) in higher education. These best practices provide a comprehensive framework for higher education institutions to effectively and ...
Alexander Mikroyannidis, Audrey Ekuban, Joseph Kwarteng, John Domingue   +3 more
doaj   +1 more source

Trustworthy AI: responses to commentators

Asian Journal of Philosophy
Abstract In ‘Trustworthy Artificial Intelligence’, we develop a novel account of how it is that AI can be trustworthy and what it takes for an AI to be trustworthy. In this paper, we respond to a suite of recent comments on this account, due to J. Adam Carter, Dong-yong Choi, Rune Nyrup, and Fei Song. We would like to thank all four for their
Christoph Kelp, Mona Simion
openaire   +2 more sources

Moving from Models to Responsible AI as a Moat. [PDF]

Am J Bioeth, 2023
Nagappan A.
europepmc   +1 more source

Decision trees: from efficient prediction to responsible AI. [PDF]

Front Artif Intell, 2023
Blockeel H, Devos L, Frénay B, Nanfack G, Nijssen S.   +4 more
europepmc   +1 more source