Philosophy of artificial intelligence

Global Digital Twin and Teleoperations Market (2021 to 2026) - by Technology, Solutions, Segments and Industry Verticals - ResearchAndMarkets.com

Retrieved on: 
Wednesday, August 4, 2021

The digital twin of a physical object can provide information about the asset such as its physical state and disposition.

Key Points: 
  • The digital twin of a physical object can provide information about the asset such as its physical state and disposition.
  • Digital twin solutions can be leveraged for many purposes ranging from design and simulations for production to observation and control in an operational environment.
  • Digital twin systems also rely upon Artificial Intelligence (AI) for machine-based learning, analytics, and other AI-based, data-oriented processes.
  • things in the real world such as a piece of equipment) by manipulating digital objects in a software-constructed world.

Building AI Better: Software Engineering Institute Introduces Three Pillars of AI Engineering

Retrieved on: 
Wednesday, June 30, 2021

To mature AI practices and help national defense and security agencies adopt AI, the SEI has begun formalizing the field of AI engineering , much as it did for software engineering in the 1980s.

Key Points: 
  • To mature AI practices and help national defense and security agencies adopt AI, the SEI has begun formalizing the field of AI engineering , much as it did for software engineering in the 1980s.
  • AI engineering is an emerging field of research and practice that combines the principles of systems engineering, software engineering, computer science, and human-centered design to create AI systems in accordance with human needs for mission outcomes.
  • The workshop's findings and subsequent collaborations with government, the armed services, industry, and academia led to the newly released pillars of AI engineering.
  • The white paper on human-centered AI engineering highlights these areas:
    The SEI envisions AI engineering as a discipline founded on all three pillarsscalable, robust and secure, and human-centered.

NICE Sets the Standard for Responsible Design and Deployment of AI-Powered Robots by Unveiling its Robo-Ethical Framework

Retrieved on: 
Wednesday, June 30, 2021

NICE (Nasdaq: NICE) today unveiled a Robo Ethical Framework promoting responsibility and transparency in the design, creation and deployment of AI-powered robots.

Key Points: 
  • NICE (Nasdaq: NICE) today unveiled a Robo Ethical Framework promoting responsibility and transparency in the design, creation and deployment of AI-powered robots.
  • NICEs ethical guidelines set the standard for designing, building and deploying robots, and form the basis for solid and ethically sound robot and human collaboration.
  • Sarah Burnett, partner at Emergence Partners said, NICE RPA scored well in our Ethics in Technology Assessment (ETA) framework.
  • It is commendable to see NICE taking a strong stand by establishing a Robo-Ethical framework.

CalypsoAI Launches VESPR, The Leading AI Security Tool Available for U.S. National Security Users

Retrieved on: 
Thursday, June 10, 2021

CalypsoAI, a start-up founded by DARPA veterans, is providing a solution to that problem with the launch of the first secure end-to-end AI security tool, VESPR.

Key Points: 
  • CalypsoAI, a start-up founded by DARPA veterans, is providing a solution to that problem with the launch of the first secure end-to-end AI security tool, VESPR.
  • "We look forward to scaling VESPR across the national security community to address the challenge of AI safety and security."
  • CalypsoAI was founded in 2018 by DoD and DARPA veterans seeking to accelerate AI applications for national security.
  • CalypsoAI's software is relied upon to give the ground truth of AI performance, reliability, and security and we serve customers in national security, finance, and other highly regulated industries.

Trousdale Ventures Invests In Preamble, One Of The First Platforms To Offer Ethical AI Moderation

Retrieved on: 
Wednesday, June 9, 2021

Preamble offers social networks an infrastructure for ethical AI to help prevent amplification of harmful content.

Key Points: 
  • Preamble offers social networks an infrastructure for ethical AI to help prevent amplification of harmful content.
  • Preamble offers aninfrastructure for ethical AI by integrating environmental, social, and governance (ESG) to help prevent amplification of harmful content.
  • Preamble will begin working with non-profits, incorporating their purpose and ethical values as a framework to develop new algorithmic outcomes.
  • "I don't think there is a more opportune time to offer this next-gen moderation tool to society in collaboration with social networks," says Phillip Sarofim, Founder of Trousdale Ventures.

Lieutenant General (Retired) Ed Cardon Joins C3 AI as Chair of Federal Systems

Retrieved on: 
Thursday, May 27, 2021

C3 AI (NYSE:AI), a leading enterprise AI software provider, today announced that Lieutenant General (Retired) Ed Cardon has joined C3 AI as the Chair of C3 AI Federal Systems.

Key Points: 
  • C3 AI (NYSE:AI), a leading enterprise AI software provider, today announced that Lieutenant General (Retired) Ed Cardon has joined C3 AI as the Chair of C3 AI Federal Systems.
  • General Cardon will provide leadership to C3 AIs Federal Systems group on critical national priorities, including the widespread adoption of AI in defense and intelligence systems, cyber defense, and ethical AI.
  • General Cardon is acknowledged as one of the worlds most innovative leaders in modernizing defense and intelligence, said C3 AI CEO Thomas M. Siebel.
  • C3 AI delivers a family of fully integrated products: C3 AI Suite, an end-to-end platform for developing, deploying, and operating large-scale AI applications; C3 AI Applications, a portfolio of industry-specific SaaS AI applications; C3 AI CRM, a suite of industry-specific CRM applications designed for AI and machine learning; and C3 AI Ex Machina, a no-code AI solution to apply data science to everyday business problems.

Stratyfy Joins Groundbreaking Machine Learning Research

Retrieved on: 
Tuesday, May 25, 2021

NEW YORK, May 25, 2021 /PRNewswire-PRWeb/ --Stratyfy is pleased to announce its participation in critical research focused on improving the transparency and fairness of machine learning in the credit industry.

Key Points: 
  • NEW YORK, May 25, 2021 /PRNewswire-PRWeb/ --Stratyfy is pleased to announce its participation in critical research focused on improving the transparency and fairness of machine learning in the credit industry.
  • This unprecedented research will seek to address issues surrounding transparency and fairness that have made many lenders hesitant to adopt machine learning underwriting models at scale.
  • I believe the expertise, proprietary technology and tools that Stratyfy provides will be a critical component to understand the practical application of explainability, transparency and fairness in machine learning solutions."
  • As an independent, nonprofit research organization, FinRegLab is conducting this research to drive the financial sector toward a responsible and inclusive marketplace.

Village Girl to Ethical AI Advocate: How Saishruthi Swaminathan's Triumph Over Bias Changed the Tech Industry

Retrieved on: 
Tuesday, May 25, 2021

Saishruthi Swaminathan is a Data Scientist and Ethical AI Advocate whose story is one of adversity, bias, and ultimately, triumph.

Key Points: 
  • Saishruthi Swaminathan is a Data Scientist and Ethical AI Advocate whose story is one of adversity, bias, and ultimately, triumph.
  • From a small village in India to a Silicon Valley superstar, Saishruthi's path to success has been anything but conventional.
  • A passionate data scientist and AI practitioner, Saishruthi saw a void in advocacy for ethical practices within AI.
  • Fear, bias, and self-doubt should not be a factor for a girl to step into the world of tech.

DataRobot Joins World Economic Forum Initiative to Advance the Equity, Accountability, and Transparency of Artificial Intelligence

Retrieved on: 
Wednesday, May 12, 2021

Project areas include standards for protecting children, creating an AI regulator for the 21st century, and addressing the unique challenges of facial recognition technology.

Key Points: 
  • Project areas include standards for protecting children, creating an AI regulator for the 21st century, and addressing the unique challenges of facial recognition technology.
  • The team\xe2\x80\x99s mission is to build and deliver trustworthy and ethical AI systems and provide actionable guidance for the company\xe2\x80\x99s customers.
  • As this technology continues to develop and adoption grows, collaboration across organizations is essential to optimizing accountability, transparency, privacy, and impartiality.
  • For more information visit http://www.datarobot.com/ , and join the conversation on the DataRobot Community , More Intelligent Tomorrow podcast , Twitter , and LinkedIn .\nView source version on businesswire.com: https://www.businesswire.com/news/home/20210512005559/en/\n'

DataRobot Names New Global AI Ethicist

Retrieved on: 
Wednesday, April 21, 2021

b'DataRobot , the leader in enterprise AI, today announced it has named Haniyeh Mahmoudian, Ph.D., as its new Global AI Ethicist, a role created to further the company\xe2\x80\x99s mission to build and deliver trustworthy and ethical AI systems.

Key Points: 
  • b'DataRobot , the leader in enterprise AI, today announced it has named Haniyeh Mahmoudian, Ph.D., as its new Global AI Ethicist, a role created to further the company\xe2\x80\x99s mission to build and deliver trustworthy and ethical AI systems.
  • Mahmoudian, an astrophysicist by training, previously served as a data science researcher for DataRobot, focusing on privacy, bias, trust, and ethics in AI.
  • In her new role, she will lead the new DataRobot Applied AI Ethics Team, which will support thought leadership in AI ethics and create trusted technical resources and governance frameworks for DataRobot\xe2\x80\x99s stakeholders.\n\xe2\x80\x9cThere remains some skepticism around the use of artificial intelligence, mostly due to concerns of bias and lack of transparency and explainability,\xe2\x80\x9d said Ted Kwartler, VP of Trusted AI at DataRobot.
  • She will be speaking on the important topic of Trust in AI at DataRobot\xe2\x80\x99s AI Experience Worldwide virtual conference , taking place May 11-12.\nDataRobot is the leader in enterprise AI, delivering trusted AI technology and enablement services to global enterprises competing in today\xe2\x80\x99s Intelligence Revolution.