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The history of robotics and artificial intelligence in many ways is
also the history of humanity's attempts to control such
technologies. From the Golem of Prague to the military robots of
modernity, the debate continues as to what degree of independence
such entities should have and how to make sure that they do not
turn on us, its inventors. Numerous recent advancements in all
aspects of research, development and deployment of intelligent
systems are well publicized but safety and security issues related
to AI are rarely addressed. This book is proposed to mitigate this
fundamental problem. It is comprised of chapters from leading AI
Safety researchers addressing different aspects of the AI control
problem as it relates to the development of safe and secure
artificial intelligence. The book is the first edited volume
dedicated to addressing challenges of constructing safe and secure
advanced machine intelligence. The chapters vary in length and
technical content from broad interest opinion essays to highly
formalized algorithmic approaches to specific problems. All
chapters are self-contained and could be read in any order or
skipped without a loss of comprehension.
A day does not go by without a news article reporting some amazing
breakthrough in artificial intelligence (AI). Many philosophers,
futurists, and AI researchers have conjectured that human-level AI
will be developed in the next 20 to 200 years. If these predictions
are correct, it raises new and sinister issues related to our
future in the age of intelligent machines. Artificial
Superintelligence: A Futuristic Approach directly addresses these
issues and consolidates research aimed at making sure that emerging
superintelligence is beneficial to humanity. While specific
predictions regarding the consequences of superintelligent AI vary
from potential economic hardship to the complete extinction of
humankind, many researchers agree that the issue is of utmost
importance and needs to be seriously addressed. Artificial
Superintelligence: A Futuristic Approach discusses key topics such
as: AI-Completeness theory and how it can be used to see if an
artificial intelligent agent has attained human level intelligence
Methods for safeguarding the invention of a superintelligent system
that could theoretically be worth trillions of dollars
Self-improving AI systems: definition, types, and limits The
science of AI safety engineering, including machine ethics and
robot rights Solutions for ensuring safe and secure confinement of
superintelligent systems The future of superintelligence and why
long-term prospects for humanity to remain as the dominant species
on Earth are not great Artificial Superintelligence: A Futuristic
Approach is designed to become a foundational text for the new
science of AI safety engineering. AI researchers and students,
computer security researchers, futurists, and philosophers should
find this an invaluable resource.
No data is completely safe. Cyberattacks on companies and
individuals are on the rise and growing not only in number but also
in ferocity. And while you may think your company has taken all the
precautionary steps to prevent an attack, no individual, company,
or country is safe. Cybersecurity can no longer be left exclusively
to IT specialists. Improving and increasing data security practices
and identifying suspicious activity is everyone's responsibility,
from the boardroom to the break room. Cybersecurity: The Insights
You Need from Harvard Business Review brings you today's most
essential thinking on cybersecurity, from outlining the challenges
to exploring the solutions, and provides you with the critical
information you need to prepare your company for the inevitable
hack. The lessons in this book will help you get everyone in your
organization on the same page when it comes to protecting your most
valuable assets. Business is changing. Will you adapt or be left
behind? Get up to speed and deepen your understanding of the topics
that are shaping your company's future with the Insights You Need
from Harvard Business Review series. Featuring HBR's smartest
thinking on fast-moving issues--blockchain, cybersecurity, AI, and
more--each book provides the foundational introduction and
practical case studies your organization needs to compete today and
collects the best research, interviews, and analysis to get it
ready for tomorrow. You can't afford to ignore how these issues
will transform the landscape of business and society. The Insights
You Need series will help you grasp these critical ideas--and
prepare you and your company for the future.
A day does not go by without a news article reporting some amazing
breakthrough in artificial intelligence (AI). Many philosophers,
futurists, and AI researchers have conjectured that human-level AI
will be developed in the next 20 to 200 years. If these predictions
are correct, it raises new and sinister issues related to our
future in the age of intelligent machines. Artificial
Superintelligence: A Futuristic Approach directly addresses these
issues and consolidates research aimed at making sure that emerging
superintelligence is beneficial to humanity. While specific
predictions regarding the consequences of superintelligent AI vary
from potential economic hardship to the complete extinction of
humankind, many researchers agree that the issue is of utmost
importance and needs to be seriously addressed. Artificial
Superintelligence: A Futuristic Approach discusses key topics such
as: AI-Completeness theory and how it can be used to see if an
artificial intelligent agent has attained human level intelligence
Methods for safeguarding the invention of a superintelligent system
that could theoretically be worth trillions of dollars
Self-improving AI systems: definition, types, and limits The
science of AI safety engineering, including machine ethics and
robot rights Solutions for ensuring safe and secure confinement of
superintelligent systems The future of superintelligence and why
long-term prospects for humanity to remain as the dominant species
on Earth are not great Artificial Superintelligence: A Futuristic
Approach is designed to become a foundational text for the new
science of AI safety engineering. AI researchers and students,
computer security researchers, futurists, and philosophers should
find this an invaluable resource.
The history of robotics and artificial intelligence in many ways is
also the history of humanity's attempts to control such
technologies. From the Golem of Prague to the military robots of
modernity, the debate continues as to what degree of independence
such entities should have and how to make sure that they do not
turn on us, its inventors. Numerous recent advancements in all
aspects of research, development and deployment of intelligent
systems are well publicized but safety and security issues related
to AI are rarely addressed. This book is proposed to mitigate this
fundamental problem. It is comprised of chapters from leading AI
Safety researchers addressing different aspects of the AI control
problem as it relates to the development of safe and secure
artificial intelligence. The book is the first edited volume
dedicated to addressing challenges of constructing safe and secure
advanced machine intelligence. The chapters vary in length and
technical content from broad interest opinion essays to highly
formalized algorithmic approaches to specific problems. All
chapters are self-contained and could be read in any order or
skipped without a loss of comprehension.
Draw A Secret password systems have recently come into vogue,
primarily in the role of protecting a user's cellular smart phone
from external infiltration in lieu of a password. However, these
password systems are only enabled for single touch operation; that
is to say, a user may only draw one pattern, with only one finger.
Brute forcing these passwords thereby becomes trivial in the
context of password complexity. This thesis implements a Draw A
Secret system utilizing consumer-grade video hardware to collate
multiple patterns synchronously and then authenticate the user at a
later point. Care has been given to properly encrypt the results to
prevent a malicious third party from infiltrating the
authentication stream from a file system perspective.
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