Connect with us

Artificial Intelligence

AI the Most Important Change in Health Care Since Introduction of the MRI, Say Experts

Published

on

Screenshot from the webinar

February 7, 2021 – Artificial Intelligence is the most important technological change in health care since the introduction of the MRI, experts said at a Thursday panel discussion about European tech sponsored by the Information Technology and Innovation Foundation.

AI will not be replacing doctors and nurses, but empowering decision-maker with new resources, according to those participating in the discussion on “How Can Europe Enhance the Benefits of AI-Enabled Health Care?”

For example, pharmaceutical companies are using AI for the speedy development of vaccines, panelists said. Additionally, AI is helping address the uneven ratio of skilled doctors to patients, assist health-care professionals in complex procedures, and deliver personalized health care to patients.

Yet, for AI technologies to reach their potential, European Union actors need to create regulations governing transparency, they said.

How AI works in healthcare

AI works through big collections of data that validate algorithms. These help explain certain solutions and detect anomalies in the data set of patients.

But algorithm-creation needs to be held to higher standards than they are currently. Systemic errors can easily enter in on a large scale, said Elmar Kotter, chairperson of the eHealth and Informatics Subcommittee of the European Society of Radiologists.

AI should have been used more during the early stages of the COVID-19 pandemic, said Maria Manuel Marques, on the Special Committee on Artificial Intelligence in a Digital Age.

AI helps treat more patients at a faster rate, and with consistency and agility, said Chris Walker, chair of the working group on digital health for the European Federation of Pharmaceutical Industries and Associations. It helps provide new insights and improve treatment by allowing early-stage treatment of diseases.

Europe faces great challenges because of people’s misconception of what AI can do, panelists said. It is not to replacing doctors and nurses, but empowering with decision-making resources.

More trust would come if companies would conduct safe experimentation by testing and showing examples of how AI can improve the life of health care workers and patients, said Marques.

Regulations of data is crucial for hospitals to trust the products. Moreover, patients must have privacy with their information. Regulations will help them understand what’s been done in the manufacture of AI system, and to what use data will be put.

Ander Elustondo Jauregui, policy officer for Digital Health, added that data quality was an important indicator of the maturity of an AI system. That providing assurances for doctors, he said.

Continue Reading
Click to comment

Leave a Reply

Artificial Intelligence

AI Should Compliment and Not Replace Humans, Says Stanford Expert

AI that strictly imitates human behavior can make workers superfluous and concentrate power in the hands of employers.

Published

on

Photo of Erik Brynjolfsson, director of the Stanford Digital Economy Lab, in January 2017 by Sandra Blaser used with permission

WASHINGTON, November 4, 2022 – Artificial intelligence should be developed primarily to augment the performance of, not replace, humans, said Erik Brynjolfsson, director of the Stanford Digital Economy Lab, at a Wednesday web event hosted by the Brookings Institution.

AI that complements human efforts can increase wages by driving up worker productivity, Brynjolfsson argued. AI that strictly imitates human behavior, he said, can make workers superfluous – thereby lowering the demand for workers and concentrating economic and political power in the hands of employers – in this case the owners of the AI.

“Complementarity (AI) implies that people remain indispensable for value creation and retain bargaining power in labor markets and in political decision-making,” he wrote in an essay earlier this year.

What’s more, designing AI to mimic existing human behaviors limits innovation, Brynjolfsson argued Wednesday.

“If you are simply taking what’s already being done and using a machine to replace what the human’s doing, that puts an upper bound on how good you can get,” he said. “The bigger value comes from creating an entirely new thing that never existed before.”

Brynjolfsson argued that AI should be crafted to reflect desired societal outcomes. “The tools we have now are more powerful than any we had before, which almost by definition means we have more power to change the world, to shape the world in different ways,” he said.

The AI Bill of Rights

In October, the White House released a blueprint for an “AI Bill of Rights.” The document condemned algorithmic discrimination on the basis of race, sex, religion, or age and emphasized the importance of user privacy. It also endorsed system transparency with users and suggested the use of human alternatives to AI when feasible.

To fully align with the blueprint’s standards, Russell Wald, policy director for Stanford’s Institute for Human-Centered Artificial Intelligence, argued at a recent Brookings event that the nation must develop a larger AI workforce.

Continue Reading

Artificial Intelligence

Workforce Training Needed to Address Artificial Intelligence Bias, Researchers Suggest

Building on the Blueprint for an AI Bill of Rights by the White House Office of Science and Technology Policy.

Published

on

Russell Wald. Credit: Rod Searcey, Stanford Law School

WASHINGTON, October 24, 2022–To align with the newly released White House guide on artificial intelligence, Stanford University’s director of policy said at an October Brookings Institution event last week that there needs to be more social and technical workforce training to address artificial intelligence biases.

Released on October 4, the Blueprint for an AI Bill of Rights framework by the White House’s Office of Science and Technology Policy is a guide for companies to follow five principles to ensure the protection of consumer rights from automated harm.

AI algorithms rely on learning the users behavior and disclosed information to customize services and advertising. Due to the nature of this process, algorithms carry the potential to send targeted information or enforce discriminatory eligibility practices based on race or class status, according to critics.

Risk mitigation, which prevents algorithm-based discrimination in AI technology is listed as an ‘expectation of an automated system’ under the “safe and effective systems” section of the White House framework.

Experts at the Brookings virtual event believe that workforce development is the starting point for professionals to learn how to identify risk and obtain the capacity to fulfill this need.

“We don’t have the talent available to do this type of investigative work,” Russell Wald, policy director for Stanford’s Institute for Human-Centered Artificial Intelligence, said at the event.

“We just don’t have a trained workforce ready and so what we really need to do is. I think we should invest in the next generation now and start giving people tools and access and the ability to learn how to do this type of work.”

Nicol Turner-Lee, senior fellow at the Brookings Institution, agreed with Wald, recommending sociologists, philosophers and technologists get involved in the process of AI programming to align with algorithmic discrimination protections – another core principle of the framework.

Core principles and protections suggested in this framework would require lawmakers to create new policies or include them in current safety requirements or civil rights laws. Each principle includes three sections on principles, automated systems and practice by government entities.

In July, Adam Thierer, senior research fellow at the Mercatus Center of George Mason University stated that he is “a little skeptical that we should create a regulatory AI structure,” and instead proposed educating workers on how to set best practices for risk management, calling it an “educational institution approach.”

Continue Reading

Artificial Intelligence

Deepfakes Pose National Security Threat, Private Sector Tackles Issue

Content manipulation can include misinformation from authoritarian governments.

Published

on

Photo of Dana Roa of Adobe, Paul Lekas of Global Policy (left to right)

WASHINGTON, July 20, 2022 – Content manipulation techniques known as deepfakes are concerning policy makers and forcing the public and private sectors to work together to tackle the problem, a Center for Democracy and Technology event heard on Wednesday.

A deepfake is a technical method of generating synthetic media in which a person’s likeness is inserted into a photograph or video in such a way that creates the illusion that they were actually there. Policymakers are concerned that deepfakes could pose a threat to the country’s national security as the technology is being increasingly offered to the general population.

Deepfake concerns that policymakers have identified, said participants at Wednesday’s event, include misinformation from authoritarian governments, faked compromising and abusive images, and illegal profiting from faked celebrity content.

“We should not and cannot have our guard down in the cyberspace,” said Representative John Katko, R-NY, ranking member of House Committee on homeland security.

Adobe pitches technology to identify deepfakes

Software company Adobe released an open-source toolkit to counter deepfake concerns earlier this month, said Dana Rao, executive vice president of Adobe. The companies’ Content Credentials feature is a technology developed over three years that tracks changes made to images, videos, and audio recordings.

Content Credentials is now an opt-in feature in the company’s photo editing software Photoshop that it says will help establish credibility for creators by adding “robust, tamper-evident provenance data about how a piece of content was produced, edited, and published,” read the announcement.

Adobe’s Connect Authenticity Initiative project is dedicated to addressing problems establishing trust after the damage caused by deepfakes. “Once we stop believing in true things, I don’t know how we are going to be able to function in society,” said Rao. “We have to believe in something.”

As part of its initiative, Adobe is working with the public sector in supporting the Deepfake Task Force Act, which was introduced in August of 2021. If adopted, the bill would establish a National Deepfake and Digital task force comprised of members from the private sector, public sector, and academia to address disinformation.

For now, said Cailin Crockett, senior advisor to the White House Gender Policy Council, it is important to educate the public on the threat of disinformation.

Continue Reading

Signup for Broadband Breakfast

Get twice-weekly Breakfast Media news alerts.
* = required field

Broadband Breakfast Research Partner

Trending