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   What is the black box problem?

   • The black box problem is a serious challenge that AI developers will need to overcome to ensure that AI development remains responsible and ethical. As the concerns about the black box problem grow, there will likely be a greater emphasis on developing XAI techniques to make AI models more transparent and understandable.

   Unravelling AI’s Paradoxical ‘Black Box’ Problem

   em360tech.com/tech-article/what-is-black-box-ai-problem

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   What is a 'black box problem' in AI?

   • This “black box problem” in AI becomes especially worrisome when coupled with outcomes that are ethically problematic, such as biased algorithms or decision models. Without an adequate understanding of how decisions are reached using DL, the criteria for trustworthiness cannot be satisfied.

   Transparency and the Black Box Problem: Why We Do Not Trust AI - Spr…

   link.springer.com/article/10.1007/s13347-021-00477-0

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   What happened to a black box algorithm?

   • The result was a public outcry, an abandoned algorithm and rampant grade inflation. The most worrying use of algorithms in policy are so-called “black box algorithms”: those in which the inputs and processes are hidden from public view.

   Beware the rise of the black box algorithm - Financial Times

   www.ft.com/content/3d5556c5-520e-497a-aa5e-2546c5bc50cf

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   What is a black box & how does it work?

   • Once the preserve of aeroplanes, a black box is an electronic device, about the same size as a mobile phone, that’s fitted to your car by your insurance company. Black boxes use satellite technology to monitor everything from the times of day you’re driving, to how aggressively you’re accelerating and braking.

   Black box car insurance: pros, cons, rules and how young ... - Carbuyer

   www.carbuyer.co.uk/tips-and-advice/152899/black-box-car-insurance-pros-cons-rules-and-how-young-drivers-can-save

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   Does dL have a black box problem?

   • Opacity and the black box problem are not exclusive to DL as other forms of machine learning also can be opaque. Because DL is paradigmatic of the black box problem, it is the focus of this paper. ProPublica’s analysis of COMPAS is useful for heuristic purposes but not without criticism.

   Transparency and the Black Box Problem: Why We Do Not Trust AI - Spr…

   link.springer.com/article/10.1007/s13347-021-00477-0

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   What is a black box model?

   • A black box model could be either (1) a function that is too complicated for any human to comprehend or (2) a function that is proprietary (Supplementary Section A). Deep learning models, for instance, tend to be black boxes of the first kind because they are highly recursive.

   Stop explaining black box machine learning models for high stakes

   www.nature.com/articles/s42256-019-0048-x

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2. english.elpais.com › technology › 2024/10/15AI’s black box problem: Why is it still indecipherable to ...

   english.elpais.com › technology › 2024/10/15

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   1 day ago · To comprehend the black box of these algorithms, one must visualize a network of interconnected neurons or nodes. “When you input data into the network, you initiate a series of calculations using the values present in the nodes,” explains Juan Antonio, a research professor at the Artificial Intelligence Research Institute at Spain’s National Research Center (CSIC).

3. www.carbuyer.co.uk › tips-and-advice › 152899Black box car insurance: pros, cons, rules and how young ...

   www.carbuyer.co.uk › tips-and-advice › 152899

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   Sep 19, 2023 · By analysing your style of driving, as well as how often you drive at peak hours or late at night (when risks are assumed to be higher) a black box car insurance policy could see you save as much...

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5. www.ft.com › content › 3d5556c5-520e-497a-aa5e-2546cBeware the rise of the black box algorithm - Financial Times

   www.ft.com › content › 3d5556c5-520e-497a-aa5e-2546c

   Sep 20, 2022 · The most worrying use of algorithms in policy are so-called “black box algorithms”: those in which the inputs and processes are hidden from public view.

6. link.springer.com › article › 10Transparency and the Black Box Problem: Why We Do Not Trust AI

   link.springer.com › article › 10

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   Sep 1, 2021 · This “black box problem” in AI becomes especially worrisome when coupled with outcomes that are ethically problematic, such as biased algorithms or decision models. Without an adequate understanding of how decisions are reached using DL, the criteria for trustworthiness cannot be satisfied.

   • Author: von Eschenbach, J Warren
   • Email: wvonesch@nd.edu

   • Publish Year: 2021

7. www.metacritic.com › tv › black-boxBlack Box season 1 Consequences - Metacritic

   www.metacritic.com › tv › black-box

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   Apr 24, 2014 · Dr. Catherine Black (Kelly Reilly), an expert in neuroscience hides her bipolar diagnosis from everyone except her psychiatrist, Dr. Helen Hartramph (Vanessa Redgrave).

8. em360tech.com › tech-article › what-is-black-box-aiUnravelling AI’s Paradoxical ‘Black Box’ Problem

   em360tech.com › tech-article › what-is-black-box-ai

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   May 31, 2024 · AI cannot progress until the black box is opened. This article delves into the black box AI problem, exploring what it is, why experts are concerned, and how it will impact the future of AI development.

9. www.nature.com › articles › s42256/019/0048-xStop explaining black box machine learning models for high ...

   www.nature.com › articles › s42256/019/0048-x

   May 13, 2019 · This Perspective clarifies the chasm between explaining black boxes and using inherently interpretable models, outlines several key reasons why explainable black boxes should be avoided in...