Recognising the potential threat to citizens’ rights and democracy posed by certain applications of AI, the European Parliament co-legislators have agreed to prohibit:
biometric categorisation systems that use sensitive characteristics (e.g. political, religious, philosophical beliefs, sexual orientation, race);
untargeted scraping of facial images from the internet or CCTV footage to create facial recognition databases;
emotion recognition in the workplace and educational institutions;
social scoring based on social behaviour or personal characteristics;
AI systems that manipulate human behaviour to circumvent their free will;
AI used to exploit the vulnerabilities of people (due to their age, disability, social or economic situation).
Haast.io won PitchLIVE at February’s Australian InsurtechLIVE24 conference.
Co-founder Kunal Vankadara explained a key challenge for insurance, being a
highly regulated industry, is to manage digital marketing compliance risk.
Abiding by all the rules is not a "set and forget" exercise and manual
reviews are not efficient over the long-term.
Haast.io’s solution uses AI to enable insurers (and
others) to find and resolve brand and legal
compliance issues, across their entire online presence.
The technology saves
time, improves productivity and frees up valuable resources by automating the review of marketing assets
before and after they go live.
More information: https://www.haast.io/
VineSight, an AI pioneer changing the way organizations combat toxicity on social media networks to protect their brands, today announces significant updates to its VineSight Reputation Management and Response (RMR) solution. With VineSight's new GPT4-based Smart Narratives and broader social media network detection, brands will now be able to instantly and more accurately identify, alert, assess impact, and mitigate online disinformation before it goes viral. VineSight RMR 2.0 utilizes advanced AI to not only identify and alert organizations to disinformation attacks faster but also help mitigate, counter-message, takedown or label content before it damages a company's reputation and business. https://www.vinesight.com/
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