You do? Here's you're TL;DR to minimize your Units of Attention
APT (Advanced Persistent Threat) groups are a prime example of nation-state-backed hacker groups
The IEEE GLOBAL GENERAL PRINCIPLES OF ‘ETHICALLY ALIGNED DESIGN’ initiative on the ethics of autonomous & intelligent systems (A/IS) includes 8 pillars
1. HUMAN RIGHTS: AI shall be created & operated to respect, promote, & protect internationally recognized human rights
A real-world example of this pillar:
1. A facial recognition system used by law enforcement that respects individuals’ privacy and does not discriminate against certain groups
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@yaeunda
Murf enables anyone to convert text to speech, voice-overs, and dictations, and it is used by a wide range of professionals like product developers, podcasters, educators, and business leaders
Siloed development of AI by nation-states as National Security threat mitigation as well as the weaponizing of AI to infiltrate, and affect policy & population sentiment in adversary nations is a significant malignant threat to peace & exponentially increases the risk of conflict
AI algos harness volumes of macro & micro-data to influence decisions affecting people in a range of scenarios, from benign movie recommendations to less benign black-box creditworthiness tests, to malignant use by Alphabet Agencies for regime change
As a society, we must ensure that the #AI systems we are building are #inclusive and #equitable. This will only happen through increased transparency and #diversity in the field. Using already "dirty data" is not the way
Using biased data to train AI has serious consequences, particularly when data is controlled by large corporations with little #transparency in their training methods
For fair & #equitable AI we need Web3 democratized & agendaless data for AI training
