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Facebook To Soon Come Up With Institute for Ethics in Artificial Intelligence

institute will help advance the growing field of ethical research on new technology and will explore fundamental issues affecting the use and impact of AI.

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institute will help advance the growing field of ethical research on new technology and will explore fundamental issues affecting the use and impact of AI. VOA

Facebook on Sunday said it will create an independent Institute for Ethics in Artificial Intelligence (AI) with an initial grant of $7.5 million.

In collaboration with the Technical University of Munich (TUM) in Germany, the institute will help advance the growing field of ethical research on new technology and will explore fundamental issues affecting the use and impact of AI.

The enterprise solutions major has integrated SAP CoPilot with the "SAP S/4HANA" Cloud.

“A tectonic shift is happening in AI. Nearly 85 per cent of enterprises globally will use AI in some form or the other by 2020. INT

“The institute will conduct independent, evidence-based research to provide insight and guidance for society, industry, legislators and decision-makers across the private and public sectors,” said Joaquin Quinonero Candela, Director, Applied Machine Learning, at Facebook.

The institute will address issues that affect the use and impact of AI, such as safety, privacy, fairness and transparency.

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“At the TUM Institute for Ethics in Artificial Intelligence, we will explore the ethical issues of AI and develop ethical guidelines for the responsible use of the technology in society and the economy,” said Professor Dr Christoph Lutge.

The institute will also benefit from Germany’s position at the forefront of the conversation surrounding ethical frameworks for AI “including the creation of government-led ethical guidelines on autonomous driving” and its work with European institutions on these issues. (IANS)

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Researchers Teaching Artificial Intelligence to Connect Senses Like Vision and Touch

The new AI-based system can create realistic tactile signals from visual inputs

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Members of that same MIT team applied the new algorithm to the BMW factory floor experiments and found that instead of freezing in place, the robot simply rolled on . Pixabay

A team of researchers at the Massachusetts Institute of Technology (MIT) have come up with a predictive Artificial Intelligence (AI) that can learn to see by touching and to feel by seeing.

While our sense of touch gives us capabilities to feel the physical world, our eyes help us understand the full picture of these tactile signals.

Robots, however, that have been programmed to see or feel can’t use these signals quite as interchangeably.

The new AI-based system can create realistic tactile signals from visual inputs, and predict which object and what part is being touched directly from those tactile inputs.

Teaching, Artificial Intelligence, Researchers
) A team of researchers at the Massachusetts Institute of Technology (MIT) have come up with a predictive Artificial Intelligence (AI). Pixabay

In the future, this could help with a more harmonious relationship between vision and robotics, especially for object recognition, grasping, better scene understanding and helping with seamless human-robot integration in an assistive or manufacturing setting.

“By looking at the scene, our model can imagine the feeling of touching a flat surface or a sharp edge”, said Yunzhu Li, PhD student and lead author from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL).

“By blindly touching around, our model can predict the interaction with the environment purely from tactile feelings,” Li added.

The team used a KUKA robot arm with a special tactile sensor called GelSight, designed by another group at MIT.

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Using a simple web camera, the team recorded nearly 200 objects, such as tools, household products, fabrics, and more, being touched more than 12,000 times.

Breaking those 12,000 video clips down into static frames, the team compiled “VisGel,” a dataset of more than three million visual/tactile-paired images.

“Bringing these two senses (vision and touch) together could empower the robot and reduce the data we might need for tasks involving manipulating and grasping objects,” said Li.

The current dataset only has examples of interactions in a controlled environment.

Teaching, Artificial Intelligence, Researchers
While our sense of touch gives us capabilities to feel the physical world, our eyes help us understand the full picture of these tactile signals. Pixabay

The team hopes to improve this by collecting data in more unstructured areas, or by using a new MIT-designed tactile glove, to better increase the size and diversity of the dataset.

“This is the first method that can convincingly translate between visual and touch signals”, said Andrew Owens, a post-doc at the University of California at Berkeley.

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The team is set to present the findings next week at the “Conference on Computer Vision and Pattern Recognition” in Long Beach, California. (IANS)