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
Artificial intelligence extends the reach of national security threats that can target individuals and whole societies with precision, speed, and scale
U.S. intelligence agencies are applying AI and machine learning (ML) technology to boost efficiency and effectiveness across their mission areas. Geospatial intelligence uses imagery and location data to detect human activity
The CIA's Directorate of Digital Innovation, responsible for advancing digital & cyber tech in human & open-source collection, as well as covert action & all-source analysis, integrates masses of raw intel collected by spies, technical & human
These groups have been known to carry out cyber espionage, intellectual property theft, and sabotage. For instance, the #FancyBear APT group was responsible for the alleged 2016 US election interference
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
2. WELL-BEING: AI creators shall adopt increased human well-being as a primary success criterion
A real-world example is a healthcare AI system that prioritizes patient outcomes and improves overall well-being, rather than just maximizing profits
Draw benefits from currently available AI tools to streamline your business, decrease costs, increase brand reach, create efficiencies, enhance your marketing mix & messaging, develop new ideas, & amaze & delight your customers
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
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
The use of flawed #AI training datasets propagates #bias, particularly in #GPT-type models which are now widely hyped but are controlled by compromised #Web2 MNCs who have a poor track record in #privacy, protecting civil #liberty & preserving free speech