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Could an emphasis on ethics in AI go the same route? Or should organizations realize the risks-as well as their responsibilities-in putting powerful AI applications into use without addressing ethical concerns? Or is there another way to deal with yet another area of quality without the excessive burden? AI starts out with no understanding of the impact of factors such as race, so if programmers haven't limited how data can be used by the AI, you can wind up with racial data being used, thus creating AI bias.

The trouble with good ideas is that, taken together, they can be very bad. It's a good idea to worry about supply chain malware injection - ask SolarWinds - and a good idea to come up with ways to stop it. It's even a good idea to look at major open-source software projects, such as the Linux kernel, with their very open supply chain, and ask - is this particularly vulnerable? After all, a poisoned Linux kernel would be bad enough to make people forget SolarWinds.

OneTrust announced it has completed the acquisition of ethics and compliance leader Convercent. The Convercent technology, 150 employees, 750 customers, and global CONVERGE community will become core to the ethics and compliance offering.

Integrating Convercent into OneTrust further enhances the platform's foundation of trust through advanced ethics and compliance capabilities. With a team of 150 ethics and compliance experts, Convercent brings unparalleled experience in managing the world's most complex and advanced global ethics programs, including Airbnb, Under Armour, Kimberly-Clark, and TimeWarner.

A Tallahassee city ethics officer was arrested and charged with cyberstalking her coworker and former lover, and is now banned by a judge from using the internet for anything besides work, paying bills and her legal defense. Julie Meadows-Keef is accused of cyberstalking Bert Fletcher, the Tallahassee Democrat newspaper reported.

Despite highly publicized risks of data-sharing and AI, from facial recognition to political deepfakes, leadership at many organizations seems to be vastly underestimating the ethical challenges of the technology, NTT DATA Services reveals. Just 12% of executives and 15% of employees say they believe AI will collect consumer data in unethical ways, and only 13% of executives and 19% of employees say AI will discriminate against minority groups.

Investigating state-sponsored espionage and counterterrorism is one thing. Writing public reports about these activities is another.