Human in the loop: (how) will it work?

Human in the loop

Artificial intelligence (AI) is used more and more in real-life business situations. Many businesses implement AI technology to reduce operational costs, increase efficiency, grow revenue, and improve customer experience. But sometimes, they are confronted with ill-behaving AI. AI decisions can be biased, discriminatory, or even malicious. The need to keep AI in check is real and human supervision seems necessary to restrain AI.

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How to help C-suite leaders and clinicians trust artificial intelligence

Punit Soni

Many health IT decision-makers and clinicians are cynical about the potential for artificial intelligence solutions to improve healthcare, particularly in the wake of high-profile setbacks and continued frustration at care recommendations that seem to come from a black box of technological machinations with little transparency or context. It seems to boil down to a matter of trust: AI developers need to prove the technology’s promise to healthcare end users, many of whom are still (often rightly) skeptical about algorithms’ shortcomings.

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Google is poisoning its reputation with AI Researchers

Google staircase

Google has worked for years to position itself as a responsible steward of AI. Its research lab hires respected academics, publishes groundbreaking papers, and steers the agenda at the field’s biggest conferences. But now its reputation has been badly, perhaps irreversibly damaged, just as the company is struggling to put a politically palatable face on its empire of data. The company’s decision to fire Timnit Gebru and Margaret Mitchell — two of its top AI ethics researchers, who happened to be examining the downsides of technology integral to Google’s search products — has triggered waves of protest.

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Do companies need a Chief AI-Ethics Officer?

Ethical workflow

The world we live in is becoming more and more data-driven. This is causing companies to make more and more use of AI techniques such as machine learning and deep learning. The task of the Chief AI Ethics Officer (CAIEO) should not be primarily technical. Instead, it should sensitize data scientists, machine learning engineers, and developers to ethical issues. The whole process should be firmly integrated into the respective process models and phases.

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Feedzai Gets Another $200M to further expand its Financial Risk AI/ML Management Platform


Feedzai, which is based in San Mateo, Calif., and Lisbon, Portugal, received the latest funds from global investment firm KKR, with participation from existing investors Sapphire Ventures and Citi Ventures, according to a March 24 (Wednesday) announcement. With the latest funding round, the company has now raised more than $1 billion from investors to pursue its strategy.

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The Chronicles of AI Ethics: The man, the machine, and the Black Box

AI black box

Today, machine learning and artificial intelligence systems, trained by data, have become so effective that many of the largest and most well-respected companies in the world use them almost exclusively to make mission-critical business decisions. The outcome of a loan, insurance or job application, or the detection of fraudulent activity is now determined using processes that involve no human involvement whatsoever.

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Google employee group urges Congress to strengthen whistleblower protections for AI researchers

Google’s decision to fire its AI ethics leaders is a matter of “urgent public concern” that merits strengthening laws to protect AI researchers and tech workers who want to act as whistleblowers. That’s according to a letter published by Google employees today in support of the Ethical AI team at Google and former co-leads Margaret Mitchell and Timnit Gebru, who Google fired two weeks ago and in December 2020, respectively.

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Building AI for the Global South

wire globe

Business and AI leaders from India, South America, and Africa have called for more artificial intelligence built for the Global South. Harm wrought by AI tends to fall most heavily on marginalized communities. In the United States, algorithmic harm may lead to the false arrest of Black men, disproportionately reject female job candidates, or target people…

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Google’s new AI ethics lead calls for more ‘diplomatic’ conversation

Marian Croak

Following months of inner conflict and opposition from Congress and thousands of Google employees, Google today announced that it will reorganize its AI ethics operations and place them in the hands of VP Marian Croak, who will lead a new responsible AI research and engineering center for expertise.

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How to avoid ethical missteps by artificial intelligence

Figures standing on money

Artificial intelligence has sometimes fallen into glaring and embarrassing errors. In the industry, you only have to mention the ‘gorilla case’ and everyone will understand that you are referring to the 2015 incident, when the Google Photos AI model providing a description to the images indicated two black people as ‘gorillas’. One of the people involved, developer Jacky Alciné, reported it on Twitter and Google apologised profusely…

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IBM researchers check AI bias with counterfactual text

Dictionary Text

In our recent paper, “Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text” accepted to AAAI 2021, we describe how our software, dubbed GYC, generates test cases to check the reliability of AI models. GYC can evaluate other AIs for accuracy, gender bias, and run a sensitivity analysis, as well as check a model’s adversarial robustness and its ability to cope with spurious correlations. It also verifies machine learning and natural language systems for trustworthiness.

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How enterprise AI use will grow in 2021: Predictions from our AI experts

Woman in collage

Among IT executives, leaders, experts and supporters in the field of AI, the opinions and insights vary widely. In this AI 2021 predictions roundup for EnterpriseAI readers, we have gathered the thoughts and comments from a sampling of our experts who shared their thoughts with us on the AI marketplace and coming innovations over the next year. Their conversations are intriguing.

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Top 5 AI implementation challenges and how your company could overcome them

Although corporate spending on artificial intelligence topped $50 billion last year, just 11% of companies that enhanced their workflows with AI have already seen a significant return on their investments. In this article, we’ll investigate business, technological, and ethical issues haunting AI projects — and provide several tips to seamlessly integrate Artificial Intelligence into your company’s Digital Transformation strategy.

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Google targets AI ethics lead Margaret Mitchell after firing Timnit Gebru

Google has revoked Ethical AI team leader Margaret “Meg” Mitchell’s employee privileges and is currently investigating her activity, according to a statement provided by a company spokesperson. Should Google fire Mitchell, it will mean the company has effectively chosen to behead its own AI ethics team in under two months.

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AI leaders make the most of the COVID-19 crisis to increase the role of AI

There is little doubt that COVID-19 has been the single most influential driver of our lives and livelihoods in 2020. The impact of the pandemic however has been very mixed for certain groups of society, certain industry sectors, certain companies and for certain technologies. Three key themes emerge around PwC’s Global Responsible AI survey, of over 1,000 C-level executives, conducted in November 2019.

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