philip lelyveld The world of entertainment technology

10 AI Predictions For 2021

3. The total number of academic research papers published on federated learning will surge.

Data privacy is becoming an increasingly urgent issue for consumers and regulators. Given this, privacy-preserving AI methods will continue to gain momentum as the most sustainable way to build machine learning models. The most prominent of these methods is federated learning.

The number of academic research papers published on federated learning has grown from 254 in 2018, to 1,340 in 2019, to 3,940 in 2020, according to Google Scholar. This exponential growth will continue: in 2021, over 10,000 research papers will be published on the topic of federated learning.

6. The U.S. federal government will make AI a true policy priority for the first time.

The United States has lagged other countries, notably China, when it comes to proactive public policy support for artificial intelligence. This will begin to change in 2021 with a Biden White House and a more motivated Congress.

The Biden administration will put forth, and Congress will pass, a federal budget that dramatically increases government funding for AI. Congress will also pass into law a national strategy for AI that addresses topics like AI ethics, research priorities, national security implications and labor automation.

9. AI will become an important part of the narrative in regulators’ antitrust efforts against big tech companies.

Regulatory authorities in the U.S. and Europe formally initiated antitrust proceedings against Amazon, Apple, Facebook and Google this year. To this point, regulators have not explicitly focused on artificial intelligence as they have articulated the antitrust cases against the technology giants.

In the coming year, expect regulators and commentators to begin invoking AI more frequently as they frame how and why these companies are unfairly stifling competition. The core argument will be that the companies’ data monopolies give them insurmountable advantages in developing effective machine learning algorithms.

See the full story here: https://www.forbes.com/sites/robtoews/2020/12/22/10-ai-predictions-for-2021/?sh=41820f86d1a0