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The Context Problem in Artificial Intelligence
From Communications of the ACM

The Context Problem in Artificial Intelligence

The artificial intelligence design challenge of teaming humans and machines is difficult because machines cannot read the context of use.

Rethinking Silicon Valley
From Communications of the ACM

Rethinking Silicon Valley: Stewart Brand's Lost Journal

Discovering a hidden chapter in computing history.

Mobile-App Privacy Nutrition Labels Missing Key Ingredients for Success
From Communications of the ACM

Mobile-App Privacy Nutrition Labels Missing Key Ingredients for Success

Android and iOS privacy labels confuse developers and end users.

Securing the Company Jewels
From Communications of the ACM

Securing the Company Jewels

GitHub and runbook security.

Data Platforms and Network Effects
From Communications of the ACM

Data Platforms and Network Effects

How data-network effects create opportunities and inflate expectations.

On the Model of Computation: Counterpoint
From Communications of the ACM

On the Model of Computation: Counterpoint: Parallel Programming Wall and Multicore Software Spiral: Denial Hence Crisis

Parallel programming wall and multicore software spiral: Denial hence crisis.

On the Model of Computation: Point
From Communications of the ACM

On the Model of Computation: Point: We Must Extend Our Model of Computation to Account for Cost and Location

We must extend our model of computation to account for cost and location.

Security by Labeling
From Communications of the ACM

Security by Labeling

Protecting and empowering the digital consumer.

Can Neural Networks Learn Better than Human Neurons?
From ACM Opinion

Can Neural Networks Learn Better than Human Neurons?

When AI programmers stop trying to copy the human neuron, neural networks make much better progress.

When Should a Black Box Be Transparent?
From Communications of the ACM

When Should a Black Box Be Transparent?

When is a replacement not a replacement?

An Interview with Dana Scott
From Communications of the ACM

An Interview with Dana Scott

ACM Fellow and A.M. Turing Award recipient Dana Scott reflects on his career.

Transforming Science through Cyberinfrastructure
From Communications of the ACM

Transforming Science through Cyberinfrastructure

NSF's vision for the U.S. cyberinfrastructure ecosystem for science and engineering in the 21st century.

Algorithms with Predictions
From Communications of the ACM

Algorithms with Predictions

Seeking a new approach that goes beyond worst-case analysis.

Cookie Monster
From Communications of the ACM

Cookie Monster

Inscrutable cookie banners torment users while failing to inform consent.

The Future of Information Work
From Communications of the ACM

The Future of Information Work

Considering the recent effects of remote work on network structure.

Our House Is On Fire
From Communications of the ACM

Our House Is On Fire: The Climate Emergency and Computing's Responsibility

Efficiencies delivered by computing technology could play a vital role in enabling continued functionality within a resource-constrained future.

The Planning and Care of Data
From Communications of the ACM

The Planning and Care of Data

Rearranging buckets for no good reason.

Involvement and Detachment
From Communications of the ACM

Involvement and Detachment

How detachment from your community blocks your success at leading innovations, and what to do about it.

Information: 'I' vs. 'We' vs. 'They'
From Communications of the ACM

Information: 'I' vs. 'We' vs. 'They'

Seeking a balance between protecting and using personal data.

Cybersecurity as Illuminator for the Future of Computing Research
From Communications of the ACM

Cybersecurity as Illuminator for the Future of Computing Research

Considering the shifting fundamentals of cybersecurity research.
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