Week to 31 October 2022

Happy Halloween!

I’m on holidays this week, so no chat, just content. Thanks as always to Sarah Zarmsky.


‘Scientists are using fitness trackers and AI to detect depression with ‘80% accuracy’, EuroNews

‘‘Deepfakes’ of Celebrities Have Begun Appearing in Ads, With or Without Their Permission’, The Wall Street Journal

‘AI in Medicine is Overhyped’, Scientific American

‘Responsible AI has a burnout problem’, MIT Technology Review

‘Italy Turns to AI to Find Taxes in Cash-First, Evasive Culture’, Bloomberg Law

‘Facial recognition technology set to transform air travel’, Traveller

‘Emerging Tech Has a Front-Row Seat at India-Hosted UN Counterterrorism Meeting. What About Human Rights?’, Just Security 

‘UK launches new AI Standards Hub for the development of AI best practices’, Technology’s Legal Edge

‘Enterprises are rolling out more AI – to ‘middling results’’, The Register

‘How shoring up drones with artificial intelligence helps surf lifesavers spot sharks at the beach’, The Conversation

‘Privacy watchdog urges companies drop emotional analysis AI software’, The Register

‘The White House’s ‘AI Bill of Rights’ outlines five principles to make artificial intelligence safer, more transparent and less discriminatory’, The Conversation 

‘This scientist uses drones and algorithms to save whales — and the rest of the ocean’, The Washington Post 

‘The golden age of AI-generated art is here. It’s going to get weird’, Financial Times

‘Tesla reportedly faces criminal probe into self-driving hype’, The Register

‘Artificial intelligence is used for predictive policing in the US and UK – South Africa should embrace it, too’, The Conversation

‘Australia: Businesses rollout facial recognition technology before the law can catch up’, Business & Human Rights Resource Centre

‘Global petition demanding an end to the unlawful targeted surveillance of human rights defenders’, Amnesty International

Journal Articles

‘Lex AI: Revisiting Private Ordering by Design’, Niva Elkin-Koren and Karni A Chagal-Feferkorn, Berkeley Technology Law Journal 

‘Racial Segregation and the Data-Driven Society: How Our Failure to Reckon with Root Causes Perpetuates Separate and Unequal Realities’, Rashida Richardson, Berkeley Technology Law Journal 

‘Mistrust of government within authoritarian states hindering user acceptance and adoption of digital IDs in Africa: The Nigerian context’, Babatunde Okunoye, Data & Policy

‘Content Moderation as Surveillance’, Hannah Bloch-Webba, Berkeley Technology Law Journal 

‘Contesting border artificial intelligence: Applying the guidance-ethics approach as a responsible design lens’, Karolina La Fors and Fran Meissner, Data & Policy

‘Allocating Responsibility in Content Moderation: A Functional Framework’, Deidre K Mulligan and Kenneth A Bamberger, Berkeley Technology Law Journal 

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