“Nudging” – the strategy of changing users’ behavior based on how apparently free choices are presented to them – has come a long way since the concept was popularized by University of Chicago economist Richard Thaler and Harvard Law School professor Cass Sunstein in 2008. With so much data about
Tag: ethical
Construction Of An Ethical Organization: A Framework For Helping Workers Build Moral Character
Just as people can develop skills and abilities over time, they can learn to be more or less ethical. Yet many organizations limit ethics training to the onboarding process. If they do address it thereafter, it may be only by establishing codes of conduct or whistleblower hotlines. Such steps may
From Privacy To Racial Bias, Ethical Concerns Over Facial Recognition Technology
Facial recognition technology has entered the mass market, with our faces now able to unlock our phones and computers. While the ability to empower machines with the very human ability to identify a person with a quick look at their face is exciting, it’s not without significant ethical concerns. Suppose
Blockchain’s Ethical Risks: How Developers And Users Can Mitigate Potential Damage
Senior leaders face a range of ethical and reputational risks in implementing blockchain projects. This article looks at four risks – the lack of third-party protections, the threat of privacy violations, the zero-state problem, and bad governance – and offers advice for how blockchain developers and users can mitigate potential
Quantum Ethics: It’s Time To Prepare For Tomorrow’s Potential Ethical Risks Quantum Computing May Create
New technologies bring new opportunities and new risks, and quantum computers are no exception. While companies and governments are investing billions in quantum technologies, many questions remain about usage and use cases. Quantum’s “known unknowns” include potential ethical considerations from abuse, misuse, or unintended consequences. To safeguard organizations and their
To Implement, Scale, And Maintain AI Ethical Risk Mitigation Strategies, Companies Should Begin With Understanding Of The Problems They’re Trying To Solve
While concerns about AI and ethical violations have become common in companies, turning these anxieties into actionable conversations can be tough. With the complexities of machine learning, ethics, and of their points of intersection, there are no quick fixes, and conversations around these issues can feel nebulous and abstract. Getting
Use Of Data Science In Marketing And Ethical, Privacy And Targeting Issues Involved In Data Mining | A Dissection With Shawndra Hill – Facebook Principal Scientist
Facebook principal scientist Shawndra Hill and Professor Olivier Toubia examine the past, present, and future of the role of data science in marketing. Shawndra Hill, a principal scientist at Facebook and a senior lecturer in the Marketing Division, joined Olivier Toubia, Glaubinger Professor of Business and Chair of the Marketing
Ethical OS: How To Safeguard Users, Communities, Societies, And Companies From New Future Risks?
How can you predict the unintended consequences of the products you are building today? How can you actively safeguard users, communities, societies, and your company from new future risks? As we think about the future of tech at Google, Yoav Schlesinger (Principal for the Tech and Society Solutions Lab at
Practices Of Ethical AI – Part 2: The Positive And Negative Aspects Of AI
This is the second blog in the Ethical AI short series, looking at the positive and negative aspects of AI. The first blog focused on AI failures and identified lessons to be learned by leaders advancing their AI product innovations, or internal usage of AI solutions. The 2021 European Commission
Practices Of Ethical AI – Part 1: AI Failures And Lessons Learned
Earlier in the year, our new book was released on Amazon, called the AI Dilemma, and it discussed the impacts of AI on different industries, ranging from: financial services, government, healthcare, media and technology, manufacturing, retail, to name just a few. As we review the AI ethics landscape, there have
Designing Principles For Ethical AI: Putting Human Values In The Loops And Some Underlying First Principles
Organizations are increasingly considering the processes, guidelines, and governance structures needed to achieve trustworthy AI. Here are some underlying first principles that can guide leaders when thinking about AI’s ethical ramifications. “This has to be a human system we live in.” – Sandy Pentland More than 60 years after the
Building Ethical AI – A Practical Guide
Companies are leveraging data and artificial intelligence to create scalable solutions – but they’re also scaling their reputational, regulatory, and legal risks. For instance, Los Angeles is suing IBM for allegedly misappropriating data it collected with its ubiquitous weather app. Optum is being investigated by regulators for creating an algorithm
