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“Instead of simply building technology that reinforces existing broken institutions, we want technology that embraces the complexities of the current state of humanity and gets us from where things are, to where things ought to be."
Chowdhury features prominently in the recently launched State of AI Ethics report by Montreal AI Ethics Institute where she elucidates the need for building tech responsibly, and substantiates her perspective with a rich bank of stories that help understand AI ethics better.
Is the business world ready for a Chief Data Ethics Officer?
The article talks about key concerns an organization might face as it utilizes data to draw inferences about customers, and makes the case for data ethics officers whose mandate would be to address or mitigate concerns.
An Understanding of AI’s Limitations Is Starting to Sink In
This article in The Economist depicts how AI has its limitations. While some tremendous progress has been made in some areas, there are glaring concerns in some others.
Loss of Public Goods to Big Tech
An article which reveals how there exists a massive asymmetry between private and public goods - private corporations generally profiteer off vast public infrastructure that helps to support their activities while they eschew their responsibility to contribute back into the pool from which they draw.
How Deepfakes Could Actually Do Some Good
With the specific example of the HBO documentary Welcome to Chechnya where members of the LGBTQ community who are heavily persecuted there, share their experiences in the documentary without having to give up their identities - their faces are digitally anonymised for their own safety.
Is It Time for a ‘Digital New Deal’ to rein in big tech?
Advocating for a significant overhaul in regulation and legislation around the power that Big Tech holds, this article talks about the “Digital New Deal” to evoke in people the desire to move towards broad changes rather than incrementalist reforms that currently plague the system
China and AI: What the World Can Learn and What It Should Be Wary of
China has undoubtedly received a lot of flak for their AI policies and usage trends. But instead of a reductionist and generalist view, this article aims to highlight in a non partisan manner what we can learn from China and what we need to avoid.
An Update on [Google’s] Work on AI and Responsible Innovation
This post penned by Jeff Dean from Google highlights some of the work that they have done in putting responsible AI principles in practice within their organization. It serves as a useful guide for others who are aiming to do the same.
Not Just The Sprinkles On Top: Baking Ethics Into AI Design
An article that propagates the need for architecture-first approach when it comes to AI ethics.
Four Steps for Drafting an Ethical Data Practices Blueprint
The article advocates for four different steps to building responsible AI within the organization.
How Open Data Could Tame Big Tech’s Power and Avoid a Breakup
With the recent antitrust hearings where some of the biggest tech companies were put on the stand to justify their behaviour, this article proposes an interesting alternative to the traditional call for breaking up Big Tech into smaller pieces.
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