Faced with growing public and legal pressure, some businesses are taking steps to utilize AI in a more socially responsible way. They refer to these efforts as “responsible AI management” (RAIM). This report conveys the results of a survey-based study conducted in early 2023 of RAIM practices at businesses that develop and use AI.
The rush to deploy powerful new generative AI technologies, such as ChatGPT, has raised alarms about potential harm and misuse. The law’s glacial response to such threats has prompted demands that the companies developing these technologies implement AI “ethically.”
But what, exactly, does that mean?
The Final Report in the Business Data Ethics project examines: The threats that corporate use of advanced analytics creates for individuals and the broader society (Part III); What “data ethics” means to the companies that practice it (Part IV); Why companies pursue data ethics when the law does not require them to do so (Part V); The substantive principles that companies use to draw the line between ethical and unethical uses of advanced analytics (Part VI); The management processes (Part VII) and technologies (Part VIII) that companies use to achieve these substantive goals; and Corporate projects that use advanced analytics for the social good (Part IX).
This first paper in the Corporate Data Ethics series shares observations and quotes derived from semi-structured interviews with practitioners managing the ethics of big data analytics applications.
A comprehensive analysis of Ohio’s innovative Data Protection Act, a law that seeks to incentivize better cybersecurity among companies doing business in Ohio. The Moritz College of Law’s Program on Data and Governance produced this report in collaboration with the Cleveland-Marshall University Center for Cybersecurity and Privacy Protection.
This report was prepared for the International Association of Privacy Professions.
Related Publications authored or co-authored by Affiliated Faculty
- From individual control to social protection: New paradigms for privacy law in the age of predictive analytics (2019)
- To solve the privacy problem think big (data), The Hill (2018)
- Privacy, Public Goods, and the Tragedy of the Trust Commons: A Response to Professors Fairfield and Engel, Duke Law Journal Online (2016)
- Big Data Sustainability: An Environmental Management Systems Analogy, Wash. & Lee L. Rev. Online (2016)
- That’s Unfair! Or Is It? Big Data, Discrimination and the FTC’s Unfairness Authority, Kentucky Law Journal (2015)
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Software professionals, malpractice law, and codes of ethics (2021)
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Crashworthy code (2019)
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Software as a Profession (2019)
- For Whom the Data Tolls: A Reunified Theory of Fourth and Fifth Amendment Jurisprudence, Cardozo Law Review (2015)
- A Prospect Theory of Privacy, Idaho Law Review (2015)
- The Anonymous Internet, Maryland Law Review (2012)
- 2023: The Year of OArb (2023)
- Ordering Online Arbitration in the Age of COVID-19… and Beyond (2022)
- Making Smart Contracts' Smarter'with Online Arbitration (Contratos Inteligentes ‘Mais Inteligentes’ Com Arbitragem) (2022)
- Resolving NFT and Smart Contract Disputes (2022)
- Technology Driven Racial Reconciliation: A practical guide for the use of technology in truth commissions (2022)
- Metaverse Arbitration for Resolving Blockchain Disputes 1.0.... (2022)
- ODR and Innovation in the United States (2021)
- Cyber Operations, Legal Secrecy, and Civil-Military Relations (book chapter in Reconsidering American Civil-Military Relations, Lionel Beehner, Risa Brooks & Daniel Maurer, eds) (2020)
- Classified Legislation: Tracking Congress’s Library of Secret Law, (2016)
- Coming to Terms with Secret Law, Harvard National Security Journal (2015)
- The Deep Web and the Darknet: A Look Inside the Internet’s Massive Black Box (Stimson Center, 2015) (with Daniel Sui & James Caverlee)
- Comparative effectiveness research and cardiovascular device registries: aligning policy and methods (2021)
- Informed consent and compulsory medical device registries: ethics and opportunities (2021)
- A Belmont Report for Data, New England Journal of Medicine (2019)
- The NSA and the Legal Regime for Foreign Intelligence Surveillance, I/S: A Journal of Law and Policy for the Information Society (2014)
- Cybersecurity: Toward a Meaningful Policy Framework, Texas Law Review (2013)
- Smart Surveillance: How to Interpret the Fourth Amendment in the Twenty-first Century (2019)
- Terry in the Age of Automated Police Officers (2019)
- Big Data, Machine Judges, and the Legitimacy of the Criminal Justice System, UC Davis Law Review (2018)
- Quantifying Criminal Procedure: How to Unlock the Potential of Big Data in the Criminal Justice System, Michigan State Law Review (2016)
- FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning (2022)
- FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification (2022)
- WebMILE: democratizing network representation learning at scale (2022)
- Face-keg: Fact checking explained using knowledge graphs (2021)
- Fairness-aware summarization for justified decision-making (2021)
- eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket (2021)
- How effectively can machines defend against machine-generated fake news? an empirical study (2020)