Human-centered AI

Shneiderman, Ben

doi:10.1145/3538882.3542790

Cited by 20 publications

(16 citation statements)

References 3 publications

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“…Multiple AI advocates (including Kai-Fu Lee [1] and Ben Shneiderman [2,3]), among many others, have posited that a primary goal of AI (and Human-centric AI 1 ) is to serve human needs. A laudable goal for sure, but there is a great deal of history, controversy, and complexity packed into both the word need and the overarching construct of needs [4].…”

Section: Serve [Human] Needsmentioning

confidence: 99%

“…Coffee may not be sufficient, but tea or water alone definitely won't do. 2 Most of us routinely leverage this power (as do politicians and advertisers) when we use the word need to effectively eliminate other options (such as, "Cryptocurrency companies need national regulations", when, e.g., international regulations, market-based instruments, co-regulation, selfregulation, education [5], and end-user empowerment [6] might be other viable options to be considered) 3 . We do this because need statements typically induce the desired associated behaviors (such as, choosing national regulations rather than other alternatives); though typically creating ethical difficulties both for those defining the need, and those tasked with satisfying the need.…”

Section: Serve [Human] Needsmentioning

confidence: 99%

“…HCAI 2. A useful exercise can be to go a day, or week, without using the word "need" at all; quickly allowing each of us to recognize just how often we use the power of the term in our daily activities 3. Here, we suspend our judgment regarding the national regulations of cryptocurrency companies since this is out of the scope of this article; the point here is that by using "need" we imply necessity [without evidence] and infer that any action must include national regulations when other options should also be considered.…”

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confidence: 99%

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Needs-aware artificial intelligence: AI that ‘serves [human] needs’

Watkins

Human

2022

AI Ethics

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By defining the current limits (and thereby the frontiers), many boundaries are shaping, and will continue to shape, the future of Artificial Intelligence (AI). We push on these boundaries to make further progress into what were yesterday's frontiers. They are both pliable and resilient-always creating new boundaries of what AI can (or should) achieve. Among these are technical boundaries (such as processing capacity), psychological boundaries (such as human trust in AI systems), ethical boundaries (such as with AI weapons), and conceptual boundaries (such as the AI people can imagine). It is within these boundaries that we find the construct of needs and the limitations that our current concept of need places on the future AI.

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Section: Serve [Human] Needsmentioning

confidence: 99%

Section: Serve [Human] Needsmentioning

confidence: 99%

mentioning

confidence: 99%

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Needs-aware artificial intelligence: AI that ‘serves [human] needs’

Watkins

Human

2022

AI Ethics

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“…Ben Shneiderman, in his book Human-Centered AI, which comments on the two Boing 737 MAX accidents, considers that the future of these AI algorithms is human-centered, mainly becoming super tools, which amplify human abilities, empowering people in remarkable ways but at the same time ensuring human control [3]. Ben named these algorithms as HCAI, an acronym of the title of his book.…”

mentioning

confidence: 99%

A proposal to improve research in AI algorithm and data governance

Braga¹,

Regateiro²,

Stiubiener³

et al. 2022

Preprint

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This paper is a proposal to develop a study on governance of artificial intelligence algorithms and data from a comparative study of proposals available in the literature and experiences from Internet governance. Complementarily these studies will be made available for discussions in a Decentralized Autonomous Organization to be implemented, especially for this purpose, in the environment called web3 or Decentralized Finance (DeFi).

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“…When faced with the goal of designing for people and technology interfaces driven by persuasion, emotion, trust, etc., organizations must consider experiences in the design as an integral part of people's lives (Smit & Melissen, 2018). Therefore, the design, evaluation and automation of the next generation of transformative and convergent personal and social human-machine systems, must be considered to ensure inclusive, and human-centered, design (Shneiderman, 2021).…”

Section: Introductionmentioning

confidence: 99%

Key user experience principles in designing computer interfaces for emotionally vulnerable user groups

Preez¹,

Coleman²,

Smuts³

EPiC Series in Computing

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The highly integrated Society 5.0 enables a ubiquitous computing world driven by exponential growth of digital technologies. User interface designers must therefore find new architectures and -designs in order to compete in a digital world. User experience (UX) design is the overarching term that expresses the philosophies, approaches, tools and techniques related to the two distinct yet overlapping fields of human-computer interaction (HCI) and user-centered design (UCD). In order to create reliable and realistic representations of key audience segments, personas are used as a mechanism to simulate the engagement with the computer interface. Personas for distressed and vulnerable users take cognizance of a user’s emotional state and potentially unique interaction with the computer interface. The purpose of this study is to consider the key UX principles in designing computer interfaces for vulnerable user groups. Two datasets, consisting of a systematic review of the literature and eye-tracking data, were collected and analyzed. We established 5 key UX principles relevant to vulnerable users entailing simplicity, support, action, engagement, look and feel, and constraint. By applying the key UX principles for vulnerable user groups, designers can ensure that a potentially emotional experience is managed well via the computer interface.

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Human-centered AI

Cited by 20 publications

References 3 publications

Needs-aware artificial intelligence: AI that ‘serves [human] needs’

Needs-aware artificial intelligence: AI that ‘serves [human] needs’

A proposal to improve research in AI algorithm and data governance

Key user experience principles in designing computer interfaces for emotionally vulnerable user groups

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