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To encourage further development and the adoption of artificial intelligence (AI), the European Commission has issued regulations and taken steps to reduce or eliminate risks. Academics, policymakers, and technologists have all called for proactive measures to mitigate the risks associated with AI and its applications. This list includes both voluntary frameworks and supranational legislation. Legislative efforts are becoming more common. A direct example is the world’s first comprehensive legal framework for AI on April 21, 2021.
Following this, the AIA (Artificial Intelligence Act) expressly prohibits the use of AI for subliminal behavior distortion that could result in physical or mental harm, exploiting the vulnerabilities of specific groups of people, such as children, the elderly, or people with disabilities, and biometric profiling in public spaces that could result in unjustified or disproportionate harm (except for specific actions like searching for missing persons or counterterrorism operations). You can read the full brief here.
National AI policies & strategies
Though there is an overview and access to a live repository of over 600 AI policy initiatives from 60 countries and territories, there remains no finalized formal legal framework globally.
One way to look at AI regulation is to observe through the lens of clarity and trust. As AI will be used to encourage social and economic changes, it could be argued that there is a need to focus on what makes us human and then embed these dynamics into the legal frameworks.
Regulation is necessary; establishing ethical frameworks is urgent because we are direct witnesses of the advancement of AI systems. And as far as the entanglement is concerned – we are facing enormous challenges.
Ethics and the Meaning of AI. Simplified.
Trustworthy algorithm
Shifting perspective and changing views on how we look at things almost always brings benefits and more understanding to the table. Ethics, transparency, responsible data collection, and the need to eliminate bias, can sound strange to someone who’s just entering the world of AI. For this reason, MKAI steps into the global role of communicating the importance of simplifying complex technical terms. One way in which the group delivered on this mission in June 2021 was through the form of, believe it or not, poem! Poetry written by Ana Maria Montes and interpreted by the MKAI – The Inclusive AI Community shows the importance of Human-Centric AI, which MKAI – The Inclusive AI Community stands for. Turn up the volume, watch, listen, and let us know how it resonates.
The importance of building trust in the AI industry is even more critical when we note that we’ll soon be using quantum algorithms instead of classical ones. To go quickly through some of the definitions, the computational power of universal quantum computers can be applied to solving many problems. As classical computers experience an exponential slowdown when simulating entangled quantum systems. As a result, even though it is entangled, the same entangled quantum system does not exhibit an exponential slowdown when running itself. The entangled quantum system behaves like a quantum computer with exponential capability, much like a computer with far more computing power than any traditional computer.
As new quantum algorithms are being continuously developed, they will quite possibly expand the application possibilities of quantum computers – including in ways that are difficult to foresee at this time.
If you’re interested in learning more about these topics, Feel free to join our focused discussion group on Telegram to continue the conversation.
AI in 2030
The world wide web brought the opportunity for everyone to be more connected. By observing the bigger picture, companies, organisations, societies and even countries need to work together more efficiently and smarter – with a lot more wisdom. Only then, will we start to see a future that is more human and more local.
Additionally, it should be noted that the MKAI AI Inclusive Forum discussions, #MKAILIVE panel discussions, and Open Discussion on the UK and the future of GDPR brought us so many valuable insights and knowledge, that both audience and panelists are still under great impressions related to our future of AI in 2030.
Therefore, we want to express gratitude to our event speakers Rose Mwebaza, Timi Olagunju, and Dr. Valérie Morignat for being so generous with their knowledge and expertise, and for helping others to understand their respective fields.
As well, we thank Delphine Nyaboke, Johan Steyn, Frits Bussemaker, Tanmay Agrawal, Tara McKeown, and Ron Chrisley for providing us with their opinion pieces, as well as David Wood‘s introduction.
Special thanks to Jaisal Surana and Vibhav Mithal for running the event and moderating, respectively.
If you didn’t have a chance to attend our last week’s LinkedIn Live and Inclusive Forum, now is the time for you to catch this exclusive opportunity and watch replays from MKAI AI Inclusive Forum: AI in 2030.
See you next week,
A.
