Wednesday, December 14, 2022

Interesting, and another reason for humans in the loop. They can deliver the good news and let the AI deliver the bad.

https://knowledge.wharton.upenn.edu/article/how-do-customers-feel-about-algorithms/

How Do Customers Feel About Algorithms?

Customers feel good about a company when its representatives make decisions in their favor, such as approving their loan application or gold member status. But when an algorithm reaches the same favorable conclusion, those warm and fuzzy feelings tend to fade.

This surprising contradiction is revealed in a new paper that examines how customers react differently depending on whether a computer or a fellow human being decides their fate.

In the study, Wharton marketing professor Stefano Puntoni and his colleagues found that customers are happiest when they receive a positive decision from a person, less happy when the positive decision is made by an algorithm, and equally unhappy with both man and machine when the news is bad.





Are global technologies making it easier for laws (like GDPR) to have a global reach?

https://www.huntonprivacyblog.com/2022/11/30/italian-supreme-court-grants-global-delisting-order-under-national-law/

Italian Supreme Court Grants Global Delisting Order Under National Law

On November 15, 2022, the Italian Supreme Court held that an Italian court or competent data protection authority has jurisdiction to issue a global delisting order. A delisting order requires a search engine to remove certain search results about individuals if the data subject’s privacy interests prevail over the general right to expression and information, and the economic interest of the search engine. The case was brought by an Italian individual, who requested a worldwide delisting order, concerning all versions of the search engine, due to potential damage to the applicant’s professional interests outside of the European Union.





Consult, yes. Collaborate even. But keep AI control in the hands of the AI experts.

https://hbr.org/2022/12/the-risks-of-empowering-citizen-data-scientists

The Risks of Empowering “Citizen Data Scientists”

New tools are enabling organizations to invite and leverage non-data scientists — say, domain data experts, team members very familiar with the business processes, or heads of various business units — to propel their AI efforts. There are advantages to empowering these internal “citizen data scientists,” but also risks. Organizations considering implementing these tools should take five steps: 1) provide ongoing education, 2) provide visibility into similar use cases throughout the organization, 3) create an expert mentor program, 4) have all projects verified by AI experts, and 5) provide resources for inspiration outside your organization.





Trying to help congress understand. (A truly hopeless effort) Should be useful for normal people…

https://www.bespacific.com/crs-video-seminars-on-disruptive-technologies/

CRS Video Seminars on Disruptive Technologies

CRS Seminars on Disruptive Technologies: Videos – Updated December 8, 2022: CRS Seminars on Disruptive Technologies: Videos – “New technologies, and those that represent an evolutionary improvement of an existing tool or process, that exhibit the potential to have large-scale effects on social and economic activity are often referred to as “disruptive” technologies. They can disrupt existing markets, practices, and processes by displacing and replacing incumbent technologies and actors. The emergence of smartphones through the convergence of mobile phone and computing technologies, for example, profoundly affected the telecommunications sector— including its relevant market actors, service offerings, and hardware and software infrastructures. It has also impacted how individuals and groups communicate through voice, text, images, and video; consume and create media; access and disseminate information; and engage in leisure activities. The positive and negative short-, medium-, and long-term effects emerging technologies may have are difficult to predict and present a range of issues for Congress. Since the development trajectories and potential outcomes of emerging technologies are uncertain—some that show great promise may ultimately fail to develop as expected and others may have unintended yet profound impacts—systematic data to help guide policy development and legislation is sparse. To support Congress in examining these opportunities and issues, CRS has held a series of seminars for Congress designed to provide an opportunity for congressional staff to better understand the possible impacts of disruptive technologies of interest. In the seminars held to date, over 40 government and private-sector experts discussed technical, economic, policy, and legal aspects of 10 disruptive technology topics: advanced battery energy storage, artificial intelligence, autonomous vehicles, automation technologies and the future of work, blockchain, commercial spaceflight, cybersecurity, gene editing, mRNA technologies, and quantum information science. This report describes each of the seminars in the series and provides links to videos of them that are available on the CRS website.”



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