Justice

When it comes to decision making, it might seem that computers are less biased than humans. But algorithms can be just as biased as the people who create the… Quick, […]

Technology has never been colourblind. It’s time to abolish notions of “universal” users of software. This is an overview on racial justice in tech and in AI that considers how […]

Measuring racial discrimination in algorithms There is growing concern that the rise of algorithmic decision-making can lead to discrimination against legally protected groups, but measuring such algorithmic discrimination is often […]

This video is an in depth panel discussion of the issues uncovered in the ‘Unmasking Facial Recognition’ report from WebRootsDemocracy. This report found that facial recognition technology use is likely […]

As protests against police brutality and in support of the Black Lives Matter movement continue in the wake of George Floyd’s killing, protection against mass surveillance has become top of […]

There’s software used across the country to predict future criminals. And it’s biased against blacks. This is an article detailing a software which is used to predict the likelihood of […]

A New Jersey man was accused of shoplifting and trying to hit an officer with a car. He is the third known black man to be wrongfully arrested based on […]

This video refers to a report from the University of Toronto’s Citizen Lab that raises concerns that the handling of private data by AI for immigration purposes could breach human […]

Dartmouth professor Dr. Hany Farid reverse engineers the inherent dangers and potential biases of recommendations engines built to mete out justice in today’s criminal justice system. In this video, he […]

Whilst some believe AI will increase police and sentencing objectivity, others fear it will exacerbate bias. For example, the over-policing of minority communities in the past has generated a disproportionate […]

The creators of the Apprise app share how they created a system assist workers in Thailand to avoid vulnerable situations. Forced labour exploiters continually tweak and refine their own practices […]

Computer scientists must identify sources of bias, de-bias training data and develop artificial-intelligence algorithms that are robust to skews in the data. The article raises the challenge of defining fairness […]

Over the past six years, the New York City police department has compiled a massive database containing the names and personal details of at least 17,500 individuals it believes to be […]

4.5 million euros have been pumped into the virtual policeman project meant to judge the honesty of travelers. An expert calls the technology “not credible.” IBorderCtrl’s lie detection system was […]

A study on the discriminatory impact of algorithms in pre-trial bail decisions.

Racial disparities in automated speech recognition Automated speech recognition (ASR) systems are now used in a variety of applications to convert spoken language to text, from virtual assistants, to closed […]

Sophisticated computational techniques, known as machine-learning algorithms, increasingly underpin advances in business practices, from investment banking to product marketing and self-driving cars. Machine learning—the foundation of artificial intelligence—portends vast changes […]

The impact of AI on litigation. The current use of AI in reviewing documents, predicting outcome of cases and predicting success rates for lawyers. This article highlights concerns about fallibility […]

We examine the impact of artificial intelligence on the UK’s legal sector

Law Society partner and equity crowdfunding platfrom Seedrs explains how developments within AI are taking law firms and solicitors to the next level. A article on how AI can be […]

Facial recognition is not the next generation of CCTV. Whilst CCTV takes pictures, facial recognition takes measurements. Measurements of the distance between your eyes, the length of your nose, the […]

In their zeal and earnest desire to protect individual privacy, policymakers run the risk of stifling innovation. The author makes the case that using facial recognition to prevent terrorism is […]

The UK Court of Appeal has determined that the use of a face-recognition system by South Wales Police was “unlawful”, which could have ramifications for the widespread use of such […]

UK police forces are largely adopting AI technologies, in particular facial recognition and predictive policing, without public consultation. This article alerts about UK police using facial recognition and predictive policing […]

Algorithms used for predictive policing rely on datasets which are inherently biased because of historically over- or under-policing certain communities. This results in the amplification of those biases.

A good summary of the differences between predictive analytics – used in AI – and traditional methods, in terms of methods and impact.

AI tools are developed with the aim of preventing crime with tools such as computer vision, pattern recognition, and the use of historical data to create crime maps, locations with higher risks of offence.

AI is used to help with border control as well as analyse immigration and visitor applications. The implementation so far has flagged the encoding of unfair treatment of individual visa applications based on the person’s country of origin.

AI tools can be helpful in the fight against human rights issues such as terrorism and human trafficking, but privacy rights are a problem.

Algorithms become the arbiters of determinations about individuals (e.g. government benefits, granting licenses, pre-sentencing and sentencing, granting parole).