Digital Ethics

Digital Ethics

3758 bookmarks
Custom sorting
How to Avoid the Ethical Nightmares of Emerging Technology
How to Avoid the Ethical Nightmares of Emerging Technology
Next-generation technologies are poised to cause society-shaking shifts at unprecedented speed and scale. Generative AI, quantum computing, blockchain, and other technologies present novel ethical problems that “business as usual” just can’t handle. To meet these challenges, leaders need to do something different: They must talk about ethics in direct, clear terms, and they must not only define their ethical nightmares but also explain how they’re going to prevent them. To prepare for the ethical challenges ahead, companies need to ensure their senior leaders understand these technologies and are aligned on the ethical risks, perform a gap and feasibility analysis, build a strategy, and implement it. All of this requires an important shift from thinking of our digital ethical nightmares as a technology problem to a leadership problem.
·hbr.org·
How to Avoid the Ethical Nightmares of Emerging Technology
Rise of the machines: how worried should we be about AI?
Rise of the machines: how worried should we be about AI?
If there’s a 10% chance that human-level artificial intelligence (AI) would lead to existential risk or an “extremely negative outcome”, what would you do? I...
·m.youtube.com·
Rise of the machines: how worried should we be about AI?
Digital 'immortality' is coming and we're not ready for it
Digital 'immortality' is coming and we're not ready for it
Artificial Intelligence has come a long way, but it might not quite be ready to give us immortality, even digitally. And that's probably a good thing.
·www-engadget-com.cdn.ampproject.org·
Digital 'immortality' is coming and we're not ready for it
Contextualizing End-User Needs: How to Measure the Trustworthiness of an AI System
Contextualizing End-User Needs: How to Measure the Trustworthiness of an AI System
As potential applications of artificial intelligence (AI) continue to expand, the question remains: will users want the technology and trust it? This blog post explores how to measure the trustworthiness of AI.
·insights.sei.cmu.edu·
Contextualizing End-User Needs: How to Measure the Trustworthiness of an AI System
US FTC opens investigation into OpenAI over misleading statements -document
US FTC opens investigation into OpenAI over misleading statements -document
The U.S. Federal Trade Commission has opened an investigation into OpenAI on claims it has run afoul of consumer protection laws by putting personal reputations and data at risk, the strongest regulatory threat to the Microsoft-backed startup yet.
·reuters.com·
US FTC opens investigation into OpenAI over misleading statements -document
Assessing public forecasts to encourage accountability: The case of MIT’s Technology Review
Assessing public forecasts to encourage accountability: The case of MIT’s Technology Review
Although high degrees of reliability have been found for many types of forecasts purportedly due to the existence of accountability, public forecasts of technology are rarely assessed and continue to have a poor reputation. This paper’s analysis of forecasts made by MIT’s Technology Review provides a rare assessment and thus a means to encourage accountability. It first shows that few of the predicted “breakthrough technologies” currently have large markets. Only four have sales greater than $10 billion while eight technologies not predicted by Technology Review have sales greater than $10 billion including three with greater than $100 billion and one other with greater than $50 billion. Second, possible reasons for these poor forecasts are then discussed including an over emphasis on the science-based process of technology change, sometimes called the linear model of innovation. Third, this paper describes a different model of technology change, one that is widely used by private companies and that explains the emergence of those technologies that have greater than $10 billion in sales. Fourth, technology change and forecasts are discussed in terms of cognitive biases and mental models.
·journals.plos.org·
Assessing public forecasts to encourage accountability: The case of MIT’s Technology Review
Diller confirms plans for legal action over AI publishing
Diller confirms plans for legal action over AI publishing
Media titan Barry Diller confirmed Sunday he and a group of “leading publishers” plan to take legal action regarding the use of published works in training artificial intelligence (AI) systems.   D…
·thehill-com.cdn.ampproject.org·
Diller confirms plans for legal action over AI publishing
AI learned from their work. Now they want compensation.
AI learned from their work. Now they want compensation.
Authors, artists and publishers are suing tech companies that used copyrighted works to train their artificial intelligence programs.
·washingtonpost.com·
AI learned from their work. Now they want compensation.
Would You Let Your Boss Track Your Sleep Schedule?
Would You Let Your Boss Track Your Sleep Schedule?
A new Slack feature developed by wearable health tech company Oura foreshadows an unnerving, dystopian future work culture.
·thedailybeast.com·
Would You Let Your Boss Track Your Sleep Schedule?