Crossing Point of Artificial Intelligence in Cybersecurity
نویسندگان
چکیده
منابع مشابه
Artificial Intelligence Safety and Cybersecurity: a Timeline of AI Failures
In this work, we present and analyze reported failures of artificially intelligent systems and extrapolate our analysis to future AIs. We suggest that both the frequency and the seriousness of future AI failures will steadily increase. AI Safety can be improved based on ideas developed by cybersecurity experts. For narrow AIs safety failures are at the same, moderate, level of criticality as in...
متن کاملArtificial Intelligence in Healthcare
The article is a letter to the editor, so it has no abstract.
متن کاملArtificial Intelligence in Healthcare
The article is a letter to the editor, so it has no abstract.
متن کاملIntelligence in Artificial Intelligence
ions of these networks, eg, cube on cube (The Society of Mind by Marvin Minsky, MIT, 1985) and “learning” mechanisms (The Organization of Behavior by Donald O Hebb, 1949) may not constitute intelligence. These processes populate fields with values from the user environment which can be selectively used (per contra hard coded defined sets). For example, NEST Learning Thermostat uses input values...
متن کاملArtificial Intelligence for Artificial Artificial Intelligence
Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TURKONTROL, a theoretical model based on POMDPs to optimize iterative, crowdsourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: American Journal of Trade and Policy
سال: 2015
ISSN: 2313-4755,2313-4747
DOI: 10.18034/ajtp.v2i3.493