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Association for Computing Machinery

Magazine: Current Issue

Current Issue

COLUMN: Letter from the editors

Opening the black box

By Gierad Laput

HTML | In the Digital Library
Tags: Artificial intelligence, Historical people

Interpreting AI and its place in our worlds

Best practices for reproducible research

AI then and now

BPDC ACM: Using social media marketing to bolster membership

Do you want to become an AI and machine learning software engineer?

Explaining explainable AI

SECTION: Features

Explaining explainable AI

How good are you at explaining your decisions? Are you better than a machine? Today, AI systems are being asked to explain their decisions. This article explores the challenges in solving this problem and approaches researchers are pursuing.

By Michael Hind

HTML | In the Digital Library
Tags: Artificial intelligence, Human-centered computing, Machine learning

"But why?" Understanding explainable artificial intelligence

Opaque algorithms get to score and choose in many areas using their own inscrutable logic. To whom are said algorithms held accountable? And what is being done to ensure explainability of these algorithms?

By Tim Miller

HTML | In the Digital Library
Tags: Artificial intelligence, Cognitive science, Human computer interaction (HCI), Machine learning algorithms

Trustworthy machine learning and artificial intelligence

Trustworthy machine learning and artificial intelligence

How can we add the most important ingredient to our relationship with machine learning?

By Kush R. Varshney

HTML | In the Digital Library
Tags: Machine learning, Machine learning algorithms, Supervised learning

The future of pedestrian-automated vehicle interactions

The future of pedestrian-automated vehicle interactions

While the increasing popularity of autonomous vehicles has garnered critical media attention, less has been written about the field of pedestrian-automated vehicle interactions and its challenges. Current research trends are discussed as well as several areas receiving much less attention, but are still vital to the field.

By Lionel P. Robert

HTML | In the Digital Library
Tags: HCI theory, concepts and models, Law, social and behavioral sciences, Transportation

Artificial intelligence for software engineering

Artificial intelligence for software engineering

Artificial intelligence is predicted to impact many industries (including the software industry), changing how we produce, manufacture, and deliver. The rise of artificial intelligence may significantly transform the practice of software engineering, helping us build better software faster.

By Hoa Khanh Dam

HTML | In the Digital Library
Tags: Distributed artificial intelligence, Software creation and management, Supervised learning

The AI revolution

The AI revolution

This article explores the areas of bias in natural language processing, from the tools that are used to analyze the data to the fundamental theories in the field. It delves deeper into the very idea that the data that is analyzed (language) itself shapes human perception of reality, and evolves over time.

By Talia Kohen

HTML | In the Digital Library
Tags: Document types, Natural language processing

Co-creating the future of work: Lessons from workplace automation

Co-creating the future of work: Lessons from workplace automation

What sociology and ethnography can teach us about designing the workplace technologies of tomorrow.

By Christine T. Wolf

HTML | In the Digital Library
Tags: Artificial intelligence, Automation, Ethnography, Machine learning, Sociology

That's not fair!

That's not fair!

Why we need to study machine learning fairness, even in an increasingly unfair world.

By Deborah Raji

HTML | In the Digital Library
Tags: HCI design and evaluation methods, Machine learning

Facial recognition is the plutonium of AI

FREE CONTENT FEATURE

Facial recognition is the plutonium of AI

It's dangerous, racializing, and has few legitimate uses; facial recognition needs regulation and control on par with nuclear waste.

By Luke Stark

HTML | In the Digital Library
Tags: Machine learning, Object recognition, Surveillance mechanisms

Robot, all too human

Robot, all too human

Advanced robotics and artificial intelligence systems present a new challenge to human identity.

By Joanna J. Bryson

HTML | In the Digital Library
Tags: Artificial intelligence, Robotics

Profile: Janelle Shane<br />Steering light, steering AI

Faster computers for all<br />Efficient Computing Laboratory, Texas State University

Today's data-driven age

Neural networks and how machines learn meaning