検索キーワード： テクノロジー・社会

From one of the most controversial personalities in the high-tech world comes this rare critique of the narcissism, ignorance and anti-communitarianism of the digital elite and their culture. Until now, the lofty pronouncements of the high-tech gurus and society's obsession with them have seldom...

The #1 New York Times Bestseller One of Barack Obama's Summer Reading List Picks From the #1 New York Times bestselling author and MSNBC and podcast host, a powerful wide-angle reckoning with how the assault from attention capitalism on our minds and our hearts has reordered our politics and...

AI and other high-tech tools embed and reinforce America’s history of prejudice and exclusion — even when they are used with the best intentions. Patrick K. Lin’s Machine See, Machine Do: How Technology Mirrors Bias in Our Criminal Justice System takes a deep and thorough look into the use of technology in the criminal justice system, and investigates the instances of coded bias present at every level.

In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments.

Kenneth is senior director of research and innovation at CoreAVI and chief technology officer at Squint AI. His work focuses on the intersection of artificial intelligence and determinism, enabling neural networks to execute in safety critical systems. Kenneth has co-authored two articles in the scholarly journal Machine Learning with Applications and several white papers for different publications, including Embedded Computing Design. He also holds several patents under CoreAVI’s auspices.

After Ethereum creator Vitalik Buterin dropped out of college and launched Bitcoin Magazine, he wrote the Ethereum white paper, which proposed an open source protocol that would take what Bitcoin did for money and do it for everything else: contracts, social networks, and sharing economies. Now, less than a decade later, his idea is valued at about half a trillion dollars, and it is the foundation for the weird new world of NFT artworks, virtual real estate, and decentralized autonomous organizations.

In Cyber War…and Peace, Nick Shevelyov shares how lessons learned from history’s most poignant moments reveal strategies to help manage risk in today’s — and tomorrow’s — digital landscape. Nick’s insight and analysis will introduce you to concepts that will increase resiliency within your organization, no matter its size. This exploration of history, strategy, and the digital world around us will challenge you to reexamine the past, solve new problems, and embrace timeless techniques.

Hello World takes us on a tour through the good, the bad, and the downright ugly of the algorithms that surround us on a daily basis. Mathematician Hannah Fry reveals their inner workings, showing us how algorithms are written and implemented, and demonstrates the ways in which human bias can literally be written into the code. By weaving in relatable, real world stories with accessible explanations of the underlying mathematics that power algorithms, Hello World helps us to determine their power, expose their limitations, and examine whether they really are improvements.

2019年9月に開催されたAppleのスペシャルイベントについて、実際にサービスが始まった内容や、試すことが出来た製品の実機の話などを盛り込みつつ、お馴染の高木利弘氏と大谷和利氏が語り合います。

Though created by humans, our technologies, markets, and institutions often contain an antihuman agenda. Douglas Rushkoff, digital theorist and host of the NPR-One podcast Team Human, reveals the dynamics of this antihuman machinery and invites us to remake these aspects of society in ways that foster our humanity. In 100 aphoristic statements, his manifesto exposes how forces for human connection have turned into ones of isolation and repression.

テクノロジーライターの大谷和利氏と情報法制研究所理事長で新潟大学法学部教授の鈴木正朝氏が、漫画村などの「違法サイトのブロッキングはなぜ問題なのか？」ということについて、ずばり解説します。

Appleは2018年6月5日開催のWWDC 2018においてMac OS MojaveおよびiOS 12、Watch OS 5を発表。開発者会議の名にふさわしくソフトウエアに焦点を絞った内容でした。今後Appleが目指す方向性を、ユーザーのセキュリティという観点も含めながら高木利弘氏と大谷和利氏が語り合いました。

A New York Times Bestseller From one of our leading technology thinkers and writers, a guide through the twelve technological imperatives that will shape the next thirty years and transform our lives Much of what will happen in the next thirty years is inevitable, driven by technological trends...

Look out for Johnson’s new book, Wonderland, on sale November 15, 2016. From the New York Times–bestselling author of Where Good Ideas Come From and Everything Bad Is Good for You, a new look at the power and legacy of great ideas. In this illustrated history, Steven Johnson explores...

No one has failed to notice that the current generation of youth is deeply - some would say totally - involved with digital media. Professors Howard Gardner and Katie Davis name today’s young people The App Generation, and in this spellbinding book they explore what it means to be “app-dependent” versus “app-enabled” and how life for this generation differs from life before the digital era.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

In Robot-Proof, Northeastern University president Joseph Aoun proposes a way to educate the next generation of college students to invent, to create, and to discover - to fill needs in society that even the most sophisticated artificial intelligence agent cannot. A "robot-proof" education, Aoun argues, is not concerned solely with topping up students' minds with high-octane facts. Rather, it calibrates them with a creative mindset and the mental elasticity to invent, discover, or create something valuable to society.

■因果を求めない人工知能の世界 先日、人工知能に関する事業をしている人と合う機会がありました。 僕の会社が展開している採用系のサービスでも、人工知能などを用いることで、 マッチング部分でもっと手間を省いた方が絶対にいいと思っている。会社側がどういった人を求めているのか、応募者がどういった会社を望んでいるのかっていうことは、履歴書にたくさん文章を書けば伝わる問題でもないから。 もちろん最後は人間が面談することが必要なんだけど、その手前で機械ができる ことの精度を高められれば、可能性が広がるんじゃないかな。 例えばビッグデータやディープラーニング。これらは、今のトレンドといっちゃ あトレンドです。大量のデータを処理することで、あらゆることの確率が表で表 せるようになる。」(本文より) 家入一真　「家入学級」はこちらから→ http://yakan-hiko.com/ieiri.html

The Age of Living Machines describes some of the most exciting new developments and the scientists and engineers who helped create them. Virus-built batteries. Protein-based water filters. Cancer-detecting nanoparticles. Mind-reading bionic limbs. Computer-engineered crops. Together they highlight the promise of the technology revolution of the 21st century to overcome some of the greatest humanitarian, medical, and environmental challenges of our time.

Too many CEOs tell a simple story about the future of work: If a machine can do what you do, your job will be automated. They envision everyone from doctors to soldiers rendered superfluous by ever-more-powerful AI. They offer stark alternatives: Make robots, or be replaced by them. Another story is possible. In virtually every walk of life, robotic systems can make labor more valuable, not less. Frank Pasquale tells the story of nurses, teachers, designers, and others who partner with technologists, rather than meekly serving as data sources for their computerized replacements.