Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society最新文献

A Framework for Technically- and Morally-Sound AI 技术和道德健全的人工智能框架

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society Pub Date : 2019-01-27 DOI: 10.1145/3306618.3314320

Duncan C. McElfresh

引用次数: 0

Compensation at the Crossroads: Autonomous Vehicles and Alternative Victim Compensation Schemes 十字路口的赔偿:自动驾驶汽车和其他受害者赔偿方案

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society Pub Date : 2019-01-27 DOI: 10.1145/3306618.3314249

Tracy Hresko Pearl

{"title":"Compensation at the Crossroads: Autonomous Vehicles and Alternative Victim Compensation Schemes","authors":"Tracy Hresko Pearl","doi":"10.1145/3306618.3314249","DOIUrl":"https://doi.org/10.1145/3306618.3314249","url":null,"abstract":"Over the last five years, a small but growing number of vehicle accidents involving fully or partially autonomous vehicles have raised a new and profoundly novel legal issue: who should be liable (if anyone) and how victims should be compensated (if at all) when a vehicle controlled by an algorithm rather than a human driver causes injury. The answer to this question has implications far beyond the resolution of individual autonomous vehicle crash cases. Whether the American legal system is capable of handling these cases fairly and efficiently implicates the likelihood that (a) consumers will adopt autonomous vehicles, and (b) the rate at which they will (or will not) do so. These implications should concern law and policy makers immensely. If autonomous cars stand to drastically reduce the number of fatalities and injuries on U.S. roadways-and virtually every scholar believes that they will-getting the adjudication and compensation aspect of autonomous vehicle injuries \"wrong,\" so to speak, risks stymieing adoption of this technology and leaving more Americans at risk of dying at the hands of human drivers.","PeriodicalId":418125,"journal":{"name":"Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123254946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

On Serving Two Masters: Directing Critical Technical Practice towards Human-Compatibility in AI 论服务两位大师:引导人工智能的关键技术实践走向人性化

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society Pub Date : 2019-01-27 DOI: 10.1145/3306618.3314325

McKane Andrus

引用次数: 0

Generating Appropriate Responses to Inappropriate Robot Commands 对不适当的机器人命令产生适当的反应

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society Pub Date : 2019-01-27 DOI: 10.1145/3306618.3314306

R. Jackson

引用次数: 0

Speaking on Behalf of: Representation, Delegation, and Authority in Computational Text Analysis 代表:计算文本分析中的表示、授权和权威

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society Pub Date : 2019-01-27 DOI: 10.1145/3306618.3314292

E. Baumer, M. McGee

引用次数: 5

Costs and Benefits of Fair Representation Learning 公平代表学习的成本与收益

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society Pub Date : 2019-01-27 DOI: 10.1145/3306618.3317964

D. McNamara, Cheng Soon Ong, R. C. Williamson

{"title":"Costs and Benefits of Fair Representation Learning","authors":"D. McNamara, Cheng Soon Ong, R. C. Williamson","doi":"10.1145/3306618.3317964","DOIUrl":"https://doi.org/10.1145/3306618.3317964","url":null,"abstract":"Machine learning algorithms are increasingly used to make or support important decisions about people's lives. This has led to interest in the problem of fair classification, which involves learning to make decisions that are non-discriminatory with respect to a sensitive variable such as race or gender. Several methods have been proposed to solve this problem, including fair representation learning, which cleans the input data used by the algorithm to remove information about the sensitive variable. We show that using fair representation learning as an intermediate step in fair classification incurs a cost compared to directly solving the problem, which we refer to as thecost of mistrust. We show that fair representation learning in fact addresses a different problem, which is of interest when the data user is not trusted to access the sensitive variable. We quantify the benefits of fair representation learning, by showing that any subsequent use of the cleaned data will not be too unfair. The benefits we identify result from restricting the decisions of adversarial data users, while the costs are due to applying those same restrictions to other data users.","PeriodicalId":418125,"journal":{"name":"Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124666932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 46

Toward Design and Evaluation Framework for Interpretable Machine Learning Systems 面向可解释机器学习系统的设计与评估框架

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society Pub Date : 2019-01-27 DOI: 10.1145/3306618.3314322

Sina Mohseni

引用次数: 6

Regulating Lethal and Harmful Autonomy: Drafting a Protocol VI of the Convention on Certain Conventional Weapons 管制致命和有害的自主性:起草《某些常规武器公约》第六号议定书

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society Pub Date : 2019-01-27 DOI: 10.1145/3306618.3314295

Sean Welsh

{"title":"Regulating Lethal and Harmful Autonomy: Drafting a Protocol VI of the Convention on Certain Conventional Weapons","authors":"Sean Welsh","doi":"10.1145/3306618.3314295","DOIUrl":"https://doi.org/10.1145/3306618.3314295","url":null,"abstract":"This short paper provides two partial drafts for a Protocol VI that might be added to the existing five Protocols of the Convention on Certain Conventional Weapons (CCW) to regulate \"lethal autonomous weapons systems\" (LAWS). Draft A sets the line of tolerance at a \"human in the loop\" between the critical functions of select and engage. Draft B sets the line of tolerance at a human in the \"wider loop\" that includes the critical function of defining target classes as well as select and engage. Draft A represents an interpretation of what NGOs such as the Campaign to Stop Killer Robots are seeking to get enacted. Draft B is a more cautious draft based on the Dutch concept of \"meaningful human control in the wider loop\" that does not seek to ban any system that currently exists. Such a draft may be more likely to achieve the consensus required by the UN CCW process. A list of weapons banned by both drafts is provided along with the rationale for each draft. The drafts are intended to stimulate debate on the precise form a binding instrument on LAWS would take and on what LAWS (if any) should be banned and why.","PeriodicalId":418125,"journal":{"name":"Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128176841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Enabling Effective Transparency: Towards User-Centric Intelligent Systems 实现有效的透明度:走向以用户为中心的智能系统

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society Pub Date : 2019-01-27 DOI: 10.1145/3306618.3314317

Aaron Springer

引用次数: 4

Fairness Criteria for Face Recognition Applications 人脸识别应用公平性标准

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society Pub Date : 2019-01-27 DOI: 10.1145/3306618.3314308

F. Michalsky

引用次数: 2