Blogs

Equity and Responsibility

Stories about the importance of innovating responsibly by ensuring ethical standards are applied during the design, development and use of data-driven technologies.

Artificial Intelligence

Caslee SimsAugust 16, 2023 0

Saving lives: Detecting neonatal sepsis with human-AI integration

In maternal and newborn health care, a pressing challenge looms large – neonatal sepsis. This dangerous infection claims the lives of countless newborns each year, devastating families and other loved ones. The World Health Organization (WHO) identifies neonatal infections as a leading cause of infant mortality, responsible for nearly a

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SAS Events

Jeff AlfordAugust 14, 2023 1

As good as the original? How AI-generated synthetic data can revolutionize health care

As you read this, someone you know may be in the hospital for an acute illness. Treatments for life-threatening illnesses are often based on a combination of existing protocols and staff experience. And that’s great when hospitals are running smoothly and are adequately staffed. But too often these days, hospitals

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Health Care

Analytics | Data for Good

Lexi RegaladoAugust 14, 2023 0

Breaking down barriers in tech with Code the Dream

In a world where technology is a cornerstone of society, opportunities in the tech sector should be within reach for all. Yet, for many people, education, resources and access barriers stand in the way. According to research by McKinsey, Black people make up 12 percent of the US workforce but only

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Education

SAS Events

Jeff AlfordAugust 10, 2023 0

Protected and private: Home health monitoring for at-risk people

The global population is aging faster than ever. The United Nations estimates there are nearly one billion people over the age of 60. That number is expected to more than double by 2050. With this growth comes a rise in chronic illnesses that are, unfortunately, part of the aging process.

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Health Care

Analytics | Artificial Intelligence | Machine Learning

Franklin ManchesterAugust 9, 2023 0

AI, BMI and life insurance bias: Examining the impact of facial recognition

Life insurance is hard to sell. People don’t like talking about it because it draws attention to a topic no one wants to consider for themselves. Death. Life insurers have earned a reputation for laborious and intrusive processes to secure the coverage that everyone needs. So, over the years, they

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Insurance

Analytics | Data for Good

Juan ColonAugust 7, 2023 0

Using data to inform policies for continuing the fight against the overdose epidemic

Data has emerged as a crucial weapon in the battle against the overdose epidemic in the United States. Government agencies nationwide are grappling with social issues such as gun violence, gang activity, burglaries and homelessness to go along with the enduring overdose crisis. Addressing these issues requires using data to

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Health Care

Analytics

Brock MatthewsJuly 13, 2023 0

Mental health in schools: How whole student analytics empowers education

Despite returning to a semblance of normalcy, research shows that a vast number of students still find themselves in the midst of a mental health crisis. It comes as no surprise to educators and parents alike, as the COVID-19 pandemic has wreaked havoc on relationships and social support – key

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Education

Analytics | Artificial Intelligence | Data for Good

Becky GraebeJuly 7, 2023 0

SAS supports veterans by hosting PACT Act discussion

SAS takes its pledge to support US veterans and military families to heart. So, when the 2022 the PACT Act expanded Veterans Affairs (VA) health care and benefits for those exposed to toxic substances, a collective team at SAS pulled together to help inform the community. Expanding Care for Our

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Government

Analytics | Artificial Intelligence | Data for Good

Vrushali SawantJune 23, 2023 1

Inclusivity: A guiding principle for responsible innovation

AI – just like humans – can carry biases. Unchecked bias can perpetuate power imbalances and marginalize vulnerable communities. Recognizing the potential for bias is one of the first steps toward responsible innovation. Doing so allows users to include diverse needs and perspectives in building inclusive and robust products. Through

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Analytics

Kristi BoydMay 31, 2023 2

Understanding the role of privacy and security in responsible innovation

As organizations embrace AI, they often handle large volumes of data that power AI systems. Handling data appropriately includes implementing adequate privacy policies and security measures to protect it. Doing so prevents accidental exposure and ensures ethical data use. AI technology often uses sensitive data for creating, training and utilizing models.

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