Swedish research firm Berg Insight says 63 million American homes will qualify as “smart” by 2022, but what will thee techologies look like, do, and how secure will they be?
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|| Future of Work || Media Article || Short (5 min or less)
Automation can sometimes substitute for human work. But by reinventing jobs to optimize work between humans and automation, organizations can attract a larger and more qualified applicant pool and achieve better retention, greater safety, and increased diversity.
|| Internet/Privacy || Media Article || Medium (5-10 min)
Superhuman, an email productivity software company, is caught spying on its customers through its default read-receipts feature with no way to opt out, giving way for malicious actors to potentially abuse the feature to harm users. This has caused outrage, but this pixel-tracking technology has been widely-employed by marketers for years.
|| General Ethics || Media Article || Short (5 min or less)
A case for the use of storytelling as a more effective approach to teach ethics to computer science students, particularly sci-fi where near-future developments in tech can be imagined and discussed.
|| Diversity Equity and Inclusion || Blog Post || Short (5 min or less)
In this Q&A with former Facebook employee Kaya Thomas, she discusses what it’s been like to work as a Black woman in tech in her internships and what top companies should be doing to attract minority candidates like her.
|| General Ethics || Media Article || Medium (5-10 min)
A conversation with Lawrence Lessig about Jeffrey Epstein, MIT, and reputation laundering.
|| Internet/Privacy || Video || Long (10+ min)
A techno-sociologist discusses "persuasion architecture", or how AI can be used to conrol people's actions, as well as what might be done in response.
|| Algorithmic Bias || Media Article || Medium (5-10 min)
Researchers say computer systems are learning from lots and lots of digitized books and news articles that could bake old attitudes into new technology.
|| Diversity Equity and Inclusion || Media Article || Short (5 min or less)
Gebru, a widely respected leader in AI ethics research, is known for coauthoring a groundbreaking paper that showed facial recognition to be less accurate at identifying women and people of color, which means its use can end up discriminating against them.